Code for data preprocessing Environment pip install numpy pip install opencv-python Usage cut_tumor_regions.py: extract annotated tumor regions of all WSIs. get the usage information of scripts python cut_tumor_regions.py --help fill the irrelevant areas with white color python cut_tumor_regions.py --wsi_dir_path ./WSIs --output_dir_path ./tumour-regions not fill the irrelevant areas python cut_tumor_regions.py --wsi_dir_path ./WSIs --output_dir_path ./tumour-regions --not_filled_other_regions cut_patches.py: cut patches with fixed size from all extracted annotated tumor regions. get the usage information of scripts python cut_patches.py --help cut patches with size of and the patches with blank ratio greater than 0.3 will be discarded, you can modify the parameters for your research python cut_patches.py --tumour_region_dir_path ./tumour-regions --size 256 --max_blank_ratio 0.3 --output_dir_path ./patches
and the patches with blank ratio greater than 0.3 will be discarded, you can modify the parameters for your research