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```
drjc@home:~/mydev/mammography_metarepository$ sudo bash run.sh nyu_gmic test01 '/data1/NYU_retrain/train_ims_mini/gmic_pngs' '/data1/NYU_metarepo/cropped_pngs' '/data1/NYU_metarepo/gmic_exam_list…
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WORKFLOW DOC
{FOR REVIEWERS}
- [x] They can run the code smoothly on the reviewer's end, where the microdata could be generated without error
- [ ] Review and validate the quality checking output…
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Hi, thanks for your great code. I tried to reproduce your result on INbreast dataset but I couldn't get any similar or even close results. Having run Preprocess_mammo_mask.py, I got 2292 mask images a…
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WORKFLOW DOC
{FOR REVIEWERS}
- [x] They can run the code smoothly on the reviewer's end, where the microdata could be generated without error
- [ ] Review and validate the quality checking output…
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Hi!
I was trying to reproduce the results for the shared example images, but it seems that the directory "sample_data" wasn't updated properly.
The readme says:
"As a part of this repository, we p…
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@AlexeyAB first of all sorry for disturbing you but I need your help as I did multiple trials and nothing unfortunately succeed.
I trained on breast images to detect the malignant or benign masses i…
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Hi!
Thank you so much for this very interesting project!
I'm having issues when it comes to running the reconstruction code(the binary crashes) on the breast models you have provided and so I ca…
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thank you for your work sharing,
I'm trying to adapt your repository to our dataset.
`score_heat_list = []
import glob
def make_dir(name):
if not os.path.isdir(name):
os.makedir…
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Hello @AlexeyAB first of all i want to thank you for the great works and now i kinda need our suggestion.
Currently im working on **object detection problem in medical images**. To be specific im tr…
ghost updated
3 years ago
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Hi Yiqiu,
I am considering to perform fine tuning of models in this repo on a couple of mammograms with image-level labels (only normal and malignant labels). I have the following concerns to seek …