nmi-wsi-diagnosis
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zizhaozhang
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
Dear author, About the III-Report dataset, are there any masks to indicate the tumor area in each image? So I can compare the tumor detection (heat maps) with the ground...
You have done great job! But i am confused about some code. `def data_loader(path, batch_size, imSize, mean=[0.5,0.5,0.5], std=[0.5,0.5,0.5], ignore_val=44, pos_val=255, neg_val=155, pos_class=[0,1], neg_class=[2]): # pos_class and neg_class in the folder...
Great work. I want to run your code on my WSI dataset. But I do not have annotation of those imaging data. Whole dataset is divided into group1 and group2....
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Pathologist-level interpretable whole-slide cancer diagnosis with deep learning