Wang et al., 2021 - Google Patents

Key Technology Algorithm of Computer Aided Diagnosis of Breast Cancer Based on Ultrasound Image

Wang et al., 2021

Document ID
3162529771224867185
Author
Wang Y
Wang F
Wen P
Ma Y
Zhang X
Publication year
Publication venue
Journal of Medical Imaging and Health Informatics

External Links

Snippet

Breast cancer is a great threat to woman's health. The main reason is that the detection rate of breast cancer is low, the detection results are not accurate, and the treatment of patients is not timely, so the complications and mortality of breast cancer are very high. With the …
Continue reading at www.ingentaconnect.com (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/5215—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
    • A61B8/5223—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data for extracting a diagnostic or physiological parameter from medical diagnostic data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/48—Diagnostic techniques

Similar Documents

Publication Publication Date Title
Ikedo et al. Development of a fully automatic scheme for detection of masses in whole breast ultrasound images
CN111000590B (en) Ultrasound cardiac Doppler study automation
Chen et al. Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networks
US8208697B2 (en) Method and apparatus for automatically developing a high performance classifier for producing medically meaningful descriptors in medical diagnosis imaging
CN111539930A (en) Dynamic ultrasonic breast nodule real-time segmentation and identification method based on deep learning
CN110292396B (en) Predictive use of quantitative imaging
CN107133638B (en) Multi-parameter MRI prostate cancer CAD method and system based on two classifiers
JP2013519455A (en) How to characterize a patient's tissue
Liu et al. Thyroid nodule recognition using a joint convolutional neural network with information fusion of ultrasound images and radiofrequency data
CN111681210A (en) Method for identifying benign and malignant breast nodules by shear wave elastogram based on deep learning
CN114782307A (en) Enhanced CT image colorectal cancer staging auxiliary diagnosis system based on deep learning
Dheeba et al. An improved decision support system for detection of lesions in mammograms using differential evolution optimized wavelet neural network
CN112489788B (en) Multi-mode image analysis method and system for cancer diagnosis
Sobhanan Warrier et al. Automated recognition of cancer tissues through deep learning framework from the photoacoustic specimen
CN103169506A (en) Ultrasonic diagnosis device and method capable of recognizing liver cancer automatically
Cheng et al. Quantitative evaluation of liver fibrosis based on ultrasound radio frequency signals: An animal experimental study
Oh et al. A neural framework for multi-variable lesion quantification through b-mode style transfer
Dicle Artificial intelligence in diagnostic ultrasonography
Tang et al. TS-DSANN: Texture and shape focused dual-stream attention neural network for benign-malignant diagnosis of thyroid nodules in ultrasound images
Shao et al. Deep convolutional neural networks for thyroid tumor grading using Ultrasound B-mode Images
Wang et al. Key Technology Algorithm of Computer Aided Diagnosis of Breast Cancer Based on Ultrasound Image
Brankovic et al. Electromagnetic based fatty liver detection using machine learning
CN108960313B (en) Ultrasonic breast mass grading detection method based on Shearlet feature and hierarchical binary tree SVM classifier
Umamaheswari et al. Literature review on breast cancer diagnosis using 3D images: methods and performance analysis
Xie et al. Spectral analysis enhanced net (SAE-Net) to classify breast lesions with BI-RADS category 4 or higher