TL;DR: CLAM is a high-throughput and interpretable method for data efficient whole slide image (WSI) classification using slide-level labels without any ROI extraction or patch-level annotations, and ...
This code was tested with PyTorch 2.0.1, cuda 11.8 and torch_geometrics 2.3.1. Note that ${PROJECT_DIR} refers to this directory. The following section outlines the graph-to-graph transformation ...
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