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How to run the code?And why the result is so poor? #2
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@zccoder , |
@lishen ,
which contains images that have already been converted into the standard DICOM format as you reported in your paper.
roi files did not in the changed dataset,So how can I change the code to fit the program or do you have any other methods to solve it? |
@lishen |
@zccoder As I mentioned, I'm too busy to write a detailed tutorial at this time. Last time I checked CBIS-DDSM, the calcification images and masks are still missing. I got those data through personal communications with the site maintainers. I just shot them an email this morning and let's hope they'll solve this issue soon. If you just want to finetune the whole image models on your own dataset then you don't have to go through patch sampling and patch classifier training. I have already provided an example in Readme.md. Is that good enough? |
I just got back from the maintainer that if you download the whole data, the calcification masks are included. |
@lishen Thank you very much! |
@lishen
So where is In addition, thank you for your help and I have get the dataset. Can you give me a .sh files as an example to get the patches? |
@zccoder , |
@lishen
The process I follow from your code is that:
For your code, preprocess is impossible to work and the patch can not get, then from the beginning to the last, I have to create all these files by my own but I still don't know whether your code works well. |
I have just uploaded the patch classifier models. I have no problem sharing them. But you shall convert the image files and renaming them by yourself. I'm not going to provide step-by-step instructions on that. |
@zccoder
i also don't know how to get the parameters you have mentioned above: roi_mask_path_file, roi_mask_dir, pat_train_list_file, full_img_dir, train_out_dir, val_out_dir. can you tell me ? thanks a lot |
@zpfu |
@zccoder |
@zccoder |
@zccoder thank you so much |
@zpfu
I could not understand ,can you give me explanation? |
@zccoder |
@wurenzhong it looks like keras.preprocessing name has been changed to keras_processing in newer keras. Hopefully, its functionality has not been changed. |
@sarahthegao |
@wurenzhong |
Did you guys manage to get it running? |
Plz share full steps to run this code successfully |
Is there anyone who is having only small set of dataset of mammography?? (Because original dataset is about 163 GB of size) I just need small set of data from that dataset. |
Did anyone manage to download the models mentioned in the README file? |
can anyone please help me to know the sequence of the files to run this code..as I am unable to find the sequence of files to run successfully this code of lishen |
hello,lishen.I have read carefully about your paper and source code.I have questions here.
1.There are so many models in your code.Such as dm_resnet_train.py dm_enet_train.py etc.And it seems that not all files that you have submitted here,is it?For myself,I can not successfully run the dm_enet_train.py,and it occurs
I think it is because the dl_state file('./modelState/resnet50_288_best_model.h5')is lost,and i do not know how to create it.
2.I tried to run .sh files to run the models,however no one worked.Then I ran the python files,like these
python dm_resnet_train.py trainingData --img-extension=png
It worked but the result is very poor,you can see it below:
Can you give me the reason and give me the way how to run .sh files ?or can you tell me how to run the different models?
Thanks a lot.
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