Pytorch implementation of "Pan-cancer computational histopathology reveals tumor mutational burden status through weakly-supervised deep learning"
Crop WSI into small patches and then extract low-dimensional farures. Refer to CLAM. We use customized self-supervised learning pretrained model rather than the routine ImageNet ptrained model. Weights and code of pretrained model will be releases upon publish.
Use construct_graph.py
Use train.py