This repository is developed as part of the Examode EU project, and is meant for conducting experiments for large field-of-view semantic segmentation. The current codebase supports CAMELYON16 and CAMELYON17, and supports efficient execution on multi-node CPU clusters, as well as multi-node, multi-GPU clusters. Models using very large FoV (> 1024×1024) can be trained on multi-GPU cluster, using the instructions below. The models adapted for the use case of semantic segmentation of malignant tumor regions are:
