CN113397527A - Measuring scale system and measuring method for measuring skin damage area of patient - Google Patents
Measuring scale system and measuring method for measuring skin damage area of patient Download PDFInfo
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Abstract
The invention belongs to the technical field of medical measurement, and discloses a measuring scale system and a measuring method for measuring the skin damage area of a patient, wherein a telescopic measuring length scale and a telescopic measuring width scale are used for covering the whole skin damage area; the number measuring sensors arranged between the length measuring scale and the width measuring scale and the support arm read numbers, meanwhile, the high-definition camera shoots pictures of the skin damage area, and then the measured numbers and the pictures are sent to the microprocessor; and calculating the number to obtain the area of the skin damage. The invention can complete one-time data measurement, provide pictures and monitored areas for medical personnel, and is used for guiding the quantification of clinical external drugs and treatment and assisting relevant research of image analysis. The invention has the function of accurate measurement, has positive effect on quantitative medicine application for patients and auxiliary image analysis scientific research work, has accurate and quick measurement, is simple and easy to operate, and is suitable for popularization and use.
Description
Technical Field
The invention belongs to the technical field of medical measurement, and particularly relates to a measuring scale system and a measuring method for measuring skin damage area of a patient by image recognition based on machine learning.
Background
The current clinical medicine is not convenient for measuring the area of the skin lesion of a patient, the current measuring technology of the skin lesion is limited to a value measured by a ruler or estimated by eye, the skin lesion cannot be accurately measured by the existing method because the shape of the skin lesion is not regular and the skin is a curved surface, and the number of the treatment medicines at the skin lesion of the patient is a fuzzy concept and can only depend on the experience of a doctor or the patient. The accurate nearly perfect treatment according to quantitative medicine is realized according to the area of skin damage not reached, and present measurement technique is mostly according to reading with the ruler of fixed length moreover, and is very inconvenient, is difficult for carrying moreover.
And the prior art cannot measure at all. The skin is curved and a straight ruler is not measurable. The skin lesions are irregular and the area cannot be calculated.
Through the above analysis, the problems and defects of the prior art are as follows:
(1) currently there is no accurate and nearly perfect method and measurement technique for quantitative drug therapy of skin lesion area.
(2) Most of the existing measuring technologies are reading according to a ruler with a fixed length, which is inconvenient and not easy to carry.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a measuring scale system and a measuring method for measuring the skin damage area of a patient, and particularly relates to a measuring scale system and a measuring method for identifying the skin damage area of the patient based on an image of machine learning.
The invention is realized in the way, and the image recognition patient skin lesion area measuring method based on machine learning comprises the following steps:
covering the whole skin damage area by using a telescopic length measuring scale and a telescopic width measuring scale;
the number measuring sensors arranged between the length measuring scale and the width measuring scale and the support arm read numbers, meanwhile, the high-definition camera shoots pictures of the skin damage area, and then the measured numbers and the pictures are sent to the microprocessor;
after the microprocessor receives the tested numbers and pictures, the numbers are calculated to obtain the area of the skin damage, the calculated numbers are displayed in a micro display screen embedded in the bracket arm, and then the calculated areas and pictures are uploaded to a computer server through a wireless information interaction device and then displayed in a computer display.
Further, after the microprocessor receives the tested numbers and the pictures, the method for calculating the numbers to obtain the area of the skin damage comprises the following steps:
the method comprises the following steps: dividing the original skin damage area image data into N × N grids to form attribute numerical values of classified areas;
step two: the classified area curve defines the horizontal section area a of the x-axis as the equal length lineiThe ratio of the area A to the total area of the region, i.e. x ═ aiThe y-axis is the ratio of the relative length H of the equal-width lines to the region length H, i.e. y is HiH, calculating a according to the attribute value of the classification areaiAnd A, the formula is as follows:
in the formula, akFor each classification area, aiThe area of the ith horizontal cross section, A is the total area, and n is the classification number;
step three: x-axis coordinate of classified area curveiNamely, the width calculation formula of the skin damage area is as follows:
in the formula, aiIs the ith horizontal cross-sectional area, and A is the total area of the area;
y-coordinate of y-axis of classified area curveiThe calculation formula of the length of the skin damage area is as follows:
wherein i is the ith category, and n is the number of categories;
the scattered point coordinate (x) of the skin damage area region is finally obtainedi，yi)；
Step four: obtain the coordinates (x) of the scattered pointsi，yi) Then, drawing a classification area integral curve by using a drawing tool;
step five: decomposing the classified area integral curve and the area surrounded by the X axis into a plurality of trapezoidal areas, and performing approximation calculation to complete the calculation process;
the approximation calculation adopts a classification area integral calculation formula of trapezoidal approximation as follows:
where HI is the Area integral of classification, AreaiIs in the shape of a trapezoid TiArea of, trapezoid TiUpper and lower bases of (1) correspond to yiAnd yi-1The height of the trapezoid is the projection of the trapezoid on the X axis, and is marked as Xi-xi-1(ii) a If the coordinates of the scatter point (x)i，yi) The number of the trapezoids is n-1 if the number of the trapezoids is n;
further, the segmentation is carried out to obtain N × N grids, and B skin loss area frames and corresponding confidence values of the frames are predicted for each grid; the loss function of the network is shown in the following equation:wherein
The jth box represented in grid i is responsible for predicting the parameters of the current target:
the invention also aims to provide a measuring scale system for identifying the skin damage area of a patient based on machine learning, which comprises a measuring length scale, a measuring width scale, a micro display screen, a microprocessor, a width measuring sensor, a bracket, a lighting lamp, a measuring button, a base, a wireless information interaction device, a high-definition camera, a scale grip, a length measuring sensor, a computer server and a bracket arm. The wireless information interaction device is embedded in the base, the microprocessor interacts data information with the computer server through the wireless information interaction device, the number measurement button is embedded in the support, the support is connected with the base to play a supporting role, the support is connected with the support arm and the base, the length measurement scale and the width measurement scale are embedded in the support arm, one end of the length measurement scale is connected with the scale handle, medical personnel adjust the telescopic length of the length measurement scale and the width measurement scale according to the skin damage area of a patient, after the adjustment is finished, the medical personnel need to press the number measurement button, the number measurement sensor arranged between the scale and the support arm can read scale numbers of the scale, then the read numbers are sent to the microprocessor to calculate the area, the illuminating lamp is turned on in the process, when the number measurement button is started, the high-definition camera can shoot a high-definition picture of skin lesions, the high-definition picture and monitored scale numbers and images are uploaded to the microprocessor, the microprocessor sends data information to the computer server through the wireless information interaction device to complete data measurement once, and the picture and the monitored area are displayed to medical workers to guide the quantification of clinical external drugs and treatment.
Furthermore, the measuring scale is made of wear-resistant materials, so that the measuring scale is not worn and consumed during stretching and retracting during measurement, scales of the measuring scale are embedded in the measuring scale, the measuring scale cannot become fuzzy due to stretching and shrinking, and subsequent accurate measurement is facilitated.
Furthermore, a programmed program integrated circuit board is installed inside the microprocessor, an information data receiving unit of the integrated circuit board receives data information from a counting sensor and a high-definition camera, then the data transmitted by the counting sensor is transmitted to a data calculating unit, then the calculated data and image information are sent to a computer server through a wireless information interaction device and are displayed in a micro display screen, the computer server displays the received information to medical care personnel in the display screen through a formatted algorithm, and the clinical external application and the quantitative treatment are guided according to the skin damage area.
Furthermore, the number measuring button, the microprocessor, the high-definition camera, the length number measuring sensor and the width number measuring sensor are connected through a lead so as to transmit electric signals and data signals.
Furthermore, the wireless information interaction device and the computer server are in data transmission through wireless WIFI, and data transmission is fast and convenient within a fixed range.
Another object of the present invention is to provide a computer-readable storage medium storing a computer program, which when executed by a processor, causes the processor to execute the method for determining skin lesion area of a patient based on machine learning image recognition.
Another object of the present invention is to provide an information data processing terminal including a memory and a processor, wherein the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to execute the method for measuring a skin lesion area of a patient by image recognition based on machine learning according to any one of claims 1 to 3.
By combining all the technical schemes, the invention has the advantages and positive effects that:
this system has played an accurate measurement's effect, measures the extension of scale, and is simple and convenient portable, has broken the limitation of fixed length measurement scale, and the scale measured data in this application is accurate, can not appear considering to calculate estimated error, and can shoot the photo and see for medical personnel, can also save patient's case according to the picture, has played positive effect for giving patient's ration to use medicine, and it is accurate quick to measure, and simple easy operation is fit for using widely.
The invention provides a method for determining the skin damage area of a patient based on image recognition of machine learning, which utilizes a telescopic measuring length scale and a measuring width scale to cover the whole skin damage area;
the number measuring sensors arranged between the length measuring scale and the width measuring scale and the support arm read numbers, meanwhile, the high-definition camera shoots pictures of the skin damage area, and then the measured numbers and the pictures are sent to the microprocessor;
after the microprocessor receives the tested numbers and pictures, the numbers are calculated to obtain the area of the skin damage, the calculated numbers are displayed in a micro display screen embedded in the bracket arm, and then the calculated areas and pictures are uploaded to a computer server through a wireless information interaction device and then displayed in a computer display.
The ruler for measuring the skin lesion area of the patient provided by the invention has the advantages that the length and the width can be stretched, and the ruler can be used for image machine learning to measure and calculate the area after being used for measuring and photographing, so that the length and the width range of the skin lesion can be evaluated, and the clinical external application medicine and treatment quantification can be guided.
The scale for measuring the skin damage area of the patient is soft, can be made of flexible rubber materials, and can be well attached to the skin to measure the area of the curved skin of different parts.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is a structural diagram of a measuring scale system for measuring the skin lesion area of a patient based on image recognition of machine learning according to an embodiment of the present invention before scale stretching.
Fig. 2 is a structural diagram of a measuring scale system for skin lesion area determination based on image recognition of machine learning according to an embodiment of the present invention after scale stretching.
In the figure: 1. measuring a length scale; 2. measuring a width scale; 3. a micro display screen; 4. a microprocessor; 5. a width measurement sensor; 6. a support; 7. an illuminating lamp; 8. a number measuring button; 9. a base; 10. a wireless information interactor; 11. a high-definition camera; 12. a scale grip; 13. a length measurement sensor; 14. a computer server; 15. a support arm.
Fig. 3 is a flow chart of a system method provided by an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides a measuring scale system and a method for identifying the skin lesion area of a patient based on image recognition of machine learning, and the invention is described in detail below with reference to the accompanying drawings.
The invention can complete one-time data measurement, provide pictures and monitored areas for medical personnel, and is used for guiding the quantification of clinical external drugs and treatment and assisting relevant research of image analysis. The system plays a role in accurate measurement, plays a positive role and effect in quantitative medicine application for patients and assisting image analysis and scientific research work, is accurate and rapid in measurement, simple and easy to operate, and is suitable for popularization and use.
As shown in fig. 1 and 2, the present application includes a length measuring scale 1, a width measuring scale 2, a micro display screen 3, a microprocessor 4, a width measuring sensor 5, a bracket 6, a lighting lamp 7, a number measuring button 8, a base 9, a wireless information interaction device 10, a high definition camera 11, a scale grip 12, a length measuring sensor 13, a computer server 14, and a bracket arm 15. The wireless information interaction device is embedded in the base, the microprocessor interacts data information with the computer server through the wireless information interaction device, the number measurement button is embedded in the support, the support is connected with the base to play a supporting role, the support is connected with the support arm and the base, the length measurement scale and the width measurement scale are embedded in the support arm, one end of the length measurement scale is connected with the scale handle, medical personnel adjust the telescopic length of the length measurement scale and the width measurement scale according to the skin damage area of a patient, after the adjustment is finished, the medical personnel need to press the number measurement button, the number measurement sensor arranged between the scale and the support arm can read scale numbers of the scale, then the read numbers are sent to the microprocessor to calculate the area, the illuminating lamp is turned on in the process, when the number measurement button is started, the high-definition camera can shoot a high-definition picture of the skin lesion, the high-definition picture and the monitored scale number and the monitored image are uploaded to the microprocessor, the microprocessor sends the data information to the computer server through the wireless information interaction device to complete data measurement once, the picture and the monitored area are displayed to medical workers and used for guiding the quantification of clinical external medicine and treatment, and the shot picture and the measured data can be used for scientific research of disease clinical skin lesion image analysis.
The measuring scale is made of wear-resistant materials, so that the measuring scale is not worn and consumed in the process of stretching and retracting during measurement, and scales of the measuring scale are embedded in the measuring scale and cannot become fuzzy due to stretching and shrinking, so that subsequent accurate measurement is facilitated.
The microprocessor is internally provided with a programmed integrated circuit board, an information data receiving unit of the integrated circuit board receives data information from a counting sensor and a high-definition camera, then the data transmitted by the counting sensor is transmitted to a data calculating unit, then the calculated data and image information are sent to a computer server through a wireless information interaction device and are displayed in a micro display screen, the computer server displays the received information to medical staff in the display screen through a formatted algorithm, and the quantification of clinical external application and treatment is guided according to the area of skin lesions.
The number measuring button, the microprocessor, the high-definition camera, the length number measuring sensor and the width number measuring sensor are connected through a lead so as to transmit electric signals and data signals.
The wireless information interaction device and the computer server are in data transmission through wireless WIFI, and data transmission is fast and convenient within a fixed range.
As shown in fig. 3, the specific working steps of the system are as follows:
s101: the device fusing the system is used for holding the base of the device by the left hand and holding the scale grip by the right hand in the clinical operation.
S102: the ruler is provided with two parts for stretching, a length measuring ruler and a width measuring ruler are measured, the scale is stretched according to the size of the skin damage area on a patient until the length and the width of the scale cover the whole skin damage part.
S103: when the length and width of scale completely cover patient's skin lesion size, medical personnel press the button of counting with the left hand, install the sensor reading number of counting between scale and support arm, high definition video camera shoots the picture of skin lesion position simultaneously, then sends during microprocessor with measured digit and picture.
S104: after the microprocessor receives the tested numbers and pictures, the numbers are simply calculated to obtain the area of the skin damage, the calculated numbers are displayed in a micro display screen embedded in the support arm, then the calculated areas and the pictures are uploaded to a computer server through a wireless information interaction device and then displayed in a computer display, and the most direct pushing to data reference is given to medical personnel.
The invention realizes that the technology can realize accurate and almost perfect treatment according to quantitative medicine according to the skin lesion area, and the scale in the application can be stretched and can automatically read, thereby being convenient and easy to carry.
The invention has the advantages of accurate measurement, measurement scale stretching, simplicity, convenience and portability, breaks through the limitation of the measurement scale with fixed length, has accurate measurement data, does not generate errors of calculation and estimation, can take pictures to be seen by medical staff, can store the cases of patients according to the pictures, has positive effect on quantitative administration of the patients, has accurate and rapid measurement, is simple and easy to operate, and is suitable for popularization and use.
The invention mainly depends on the calculation area of a microprocessor and the basic working process of photographing realization by a high-definition camera embedded at the lower end of a bracket arm.
The technical solution of the present invention is further described with reference to the following specific examples.
Example (b): a method for determining the skin lesion area of a patient based on image recognition of machine learning comprises the following steps:
covering the whole skin damage area by using a telescopic length measuring scale and a telescopic width measuring scale;
the number measuring sensors arranged between the length measuring scale and the width measuring scale and the support arm read numbers, meanwhile, the high-definition camera shoots pictures of the skin damage area, and then the measured numbers and the pictures are sent to the microprocessor;
after the microprocessor receives the tested numbers and pictures, the numbers are calculated to obtain the area of the skin damage, the calculated numbers are displayed in a micro display screen embedded in the bracket arm, and then the calculated areas and pictures are uploaded to a computer server through a wireless information interaction device and then displayed in a computer display.
Further, after the microprocessor receives the tested numbers and the pictures, the method for calculating the numbers to obtain the area of the skin damage comprises the following steps:
the method comprises the following steps: dividing the original skin damage area image data into N × N grids to form attribute numerical values of classified areas;
step two: the classified area curve defines the horizontal section area a of the x-axis as the equal length lineiThe ratio of the area A to the total area of the region, i.e. x ═ aiThe y-axis is the ratio of the relative length H of the equal-width lines to the region length H, i.e. y is HiH, calculating a according to the attribute value of the classification areaiAnd A, the formula is as follows:
in the formula, akFor each classification area, aiThe area of the ith horizontal cross section, A is the total area, and n is the classification number;
step three: x-axis coordinate of classified area curveiNamely, the width calculation formula of the skin damage area is as follows:
in the formula, aiIs the ith horizontal cross-sectional area, and A is the total area of the area;
y-coordinate of y-axis of classified area curveiThe calculation formula of the length of the skin damage area is as follows:
wherein i is the ith category, and n is the number of categories;
the scattered point coordinate (x) of the skin damage area region is finally obtainedi，yi)；
Step four: obtain the coordinates (x) of the scattered pointsi,yi) Then, drawing a classification area integral curve by using a drawing tool;
step five: decomposing the classified area integral curve and the area surrounded by the X axis into a plurality of trapezoidal areas, and performing approximation calculation to complete the calculation process;
the approximation calculation adopts a classification area integral calculation formula of trapezoidal approximation as follows:
where HI is the Area integral of classification, AreaiIs in the shape of a trapezoid TiArea of, trapezoid TiUpper and lower bases of (1) correspond to yiAnd yi-1The height of the trapezoid is the projection of the trapezoid on the X axis, and is marked as Xi-xi-1(ii) a If the coordinates of the scatter point (x)i，yi)The number of the trapezoids is n-1 if the number of the trapezoids is n;
dividing the grid into N × N grids, and predicting B skin loss area frames and a corresponding confidence value of each frame for each grid; the loss function of the network is shown in the following equation: wherein
The jth box represented in grid i is responsible for predicting the parameters of the current target:
experiments show that the determination method has strong practicability and high accuracy and can provide basis for medical application.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made by those skilled in the art within the technical scope of the present invention disclosed herein, which is within the spirit and principle of the present invention, should be covered by the present invention.
Claims (10)
1. The method for measuring the skin lesion area of the patient based on the image recognition of the machine learning is characterized by comprising the following steps of:
covering the whole skin damage area by using a telescopic length measuring scale and a telescopic width measuring scale;
the number measuring sensors arranged between the length measuring scale and the width measuring scale and the support arm read numbers, meanwhile, the high-definition camera shoots pictures of the skin damage area, and then the measured numbers and the pictures are sent to the microprocessor;
after the microprocessor receives the tested numbers and pictures, the numbers are calculated to obtain the area of the skin damage, the calculated numbers are displayed in a micro display screen embedded in the bracket arm, and then the calculated areas and pictures are uploaded to a computer server through a wireless information interaction device and then displayed in a computer display.
2. The method of claim 1, wherein the microprocessor receives the tested numbers and pictures, and calculates the numbers to obtain the area of the skin lesion, comprising:
dividing original skin damage area image data into N grid N to form attribute numerical values of classified areas;
step two, defining the x axis of the classified area curve as the horizontal section area a cut by the equal length lineiThe ratio of the area A to the total area of the region, i.e. x ═ aiThe y-axis is the ratio of the relative length H of the equal-width lines to the region length H, i.e. y is HiH, calculating a according to the attribute value of the classification areaiAnd A, the formula is as follows:
in the formula, akFor each classification area, aiThe area of the ith horizontal cross section, A is the total area, and n is the classification number;
step three, classifying the coordinate x of the area curve x axisiNamely, the width calculation formula of the skin damage area is as follows:
in the formula, aiIs the ith horizontal cross-sectional area, and A is the total area of the area;
y-coordinate of y-axis of classified area curveiThe calculation formula of the length of the skin damage area is as follows:
wherein i is the ith category, and n is the number of categories;
the scattered point coordinate (x) of the skin damage area region is finally obtainedi，yi)；
Step four, obtaining the coordinates (x) of the scattered pointsi，yi) Then, drawing a classification area integral curve by using a drawing tool;
decomposing the area enclosed by the classified area integral curve and the X axis into a plurality of trapezoidal areas, and performing approximation calculation to complete the calculation process;
the approximation calculation adopts a classification area integral calculation formula of trapezoidal approximation as follows:
where HI is the Area integral of classification, AreaiIs in the shape of a trapezoid TiArea of, trapezoid TiUpper and lower bases of (1) correspond to yiAnd yi-1The height of the trapezoid is the projection of the trapezoid on the X axis, and is marked as Xi-xi-1(ii) a If the coordinates of the scatter point (x)i，yi) The number of the trapezoids is n-1 if the number of the trapezoids is n.
3. The method according to claim 1, wherein said segmenting into N x N grids predicts B skin damage area frames for each grid and the confidence value corresponding to each frame; the loss function of the network is shown in the following equation: wherein
The jth box represented in grid i is responsible for predicting the parameters of the current target:
4. a measuring scale system for measuring the skin damage area of an image recognition patient based on machine learning is characterized by comprising a measuring length scale, a measuring width scale, a micro display screen, a microprocessor, a width measuring sensor, a support, a lighting lamp, a measuring button, a base, a wireless information interaction device, a high-definition camera, a scale handle, a length measuring sensor, a computer server and a support arm;
the measuring scale system for identifying the skin damage area of the patient based on the image of the machine learning is made of flexible rubber materials and is used for being attached to the skin and measuring the area of the curved surface skin of different parts;
the wireless information interaction device is embedded in the base, the microprocessor interacts data information with the computer server through the wireless information interaction device, the number measurement button is embedded in the support, the support and the base are connected to play a supporting role, the support is connected with the support arm and the base, the length measurement scale and the width measurement scale are embedded in the support arm, one end of the measurement scale is connected with the scale handle and used for adjusting the telescopic lengths of the length measurement scale and the width measurement scale according to the skin damage area, after adjustment is finished, the number measurement sensor arranged between the scale and the support arm can read scale numbers of the scale, and then the read numbers are sent to the microprocessor to calculate the area;
when the counting button is started, the high-definition camera shoots a high-definition picture of the skin damage, the high-definition picture and the monitored scale number and the monitored image are uploaded together and sent to the microprocessor, the microprocessor sends data information to the computer server through the wireless information interaction device, one-time data measurement is completed, and the picture and the monitored area are displayed.
5. The system according to claim 4, wherein the measuring scale is made of a wear-resistant material, and the scale marks of the measuring scale are embedded in the measuring scale, so as to facilitate subsequent accurate measurement.
6. The system according to claim 4, wherein said microprocessor has an integrated circuit board with programmed programs installed therein, an information data receiving unit of the integrated circuit board receives data information from the counting sensor and the HD camera, and then transmits the data from the counting sensor to a data calculating unit, and then transmits the calculated data and image information to the computer server through the wireless information interactive device, and at the same time, the data is displayed on the microdisplay screen, and the computer server displays the received information on the display screen for medical care personnel through a formatted algorithm, so as to guide the clinical application and the quantitative treatment according to the area of the skin damage.
7. The system according to claim 4, wherein the number measuring button, the microprocessor, the high-definition camera, the length number measuring sensor and the width number measuring sensor are connected by a wire, so as to transmit electric signals and data signals.
8. The system according to claim 4, wherein the wireless information interactor and the computer server are configured to perform data transmission via WIFI, and the data transmission is fast and convenient within a fixed range.
9. A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to execute the method for determining a skin lesion area of a patient based on machine learning according to any one of claims 1 to 3.
10. An information data processing terminal comprising a memory and a processor, wherein the memory stores a computer program, and wherein the computer program, when executed by the processor, causes the processor to execute the method for measuring skin lesion area of a patient based on image recognition by machine learning according to any one of claims 1 to 3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110667389.5A CN113397527A (en) | 2021-06-16 | 2021-06-16 | Measuring scale system and measuring method for measuring skin damage area of patient |
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| CN206403775U (en) * | 2016-09-27 | 2017-08-15 | 合肥市第二人民医院 | A kind of pressure sore measuring scale |
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| CN110555384A (en) * | 2019-07-31 | 2019-12-10 | 四川省草原科学研究院 | Beef marbling automatic grading system and method based on image data |
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| CN104375974A (en) * | 2014-11-24 | 2015-02-25 | 西华师范大学 | Hypsometric integral calculating method |
| CN206403775U (en) * | 2016-09-27 | 2017-08-15 | 合肥市第二人民医院 | A kind of pressure sore measuring scale |
| CN109350066A (en) * | 2018-10-24 | 2019-02-19 | 南方医科大学珠江医院 | A kind of induction type wound measuring scale and its application on APP |
| CN110555384A (en) * | 2019-07-31 | 2019-12-10 | 四川省草原科学研究院 | Beef marbling automatic grading system and method based on image data |
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