Before revision:  Previous pan-cancer datasets consisted of only up to 9 different tissues and up to 21,000 unlabeled nuclei kumar2019multi and just over 24,000 labeled nuclei with segmentation masks \mbox{%DIFAUXCMD graham_hover-net:_2019 . PanNuke consists of 19 different tissue types from over 20,000 WSIs that have been semi-automatically annotated and quality controlled by clinical pathologists, leading to a dataset with statistics similar to `the clinical wild' and with minimal selection bias.
After revision:  Previous pan-cancer datasets consisted of only up to 9 different tissues and up to 21,000 unlabeled nuclei kumar2019multi and just over 24,000 labeled nuclei with segmentation masks \mbox{%DIFAUXCMD graham2019hover . PanNuke consists of 19 different tissue types from over 20,000 WSIs that have been semi-automatically annotated and quality controlled by clinical pathologists, leading to a dataset with statistics similar to `the clinical wild' and with minimal selection bias.