Automatic tumour segmentation in WSIs: results from TCGA BLCA, LUAD, LUSC and PRAD

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Authors: Ole-Johan Skrede
Cited by: 0

Abstract

A collection of segmentation results of a single automatic tumour segmentation method applied on whole-slide images (WSIs) from four datasets from The Cancer Genome Atlas (TCGA): BLCA, LUAD, LUSC, PRAD. The segmentation method is the primary model presented in the study Generalisation of automatic tumour segmentation in histopathological whole-slide images across multiple cancer types (https://arxiv.org/abs/2510.11182). The .zip file contains two folders with results (.png), one folder with performance evaluation files (.csv) and a README file.

Fields of Study & Subjects

AI in cancer detection Medical Image Segmentation Techniques Cell Image Analysis Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 February 2026