Explore high-quality datasets for your AI and machine learning projects.
The dataset represents a texture collection of human colorectal cancer histology images. It contains 5,000 RGB images of size 150 × 150 px (74 µm × 74 µm), each belonging to one of eight tissue classes. Images were digitized at 20× magnification (0.495 µm/pixel) using an Aperio ScanScope (Leica Biosystems). The samples are formalin‑fixed, paraffin‑embedded (FFPE) colorectal adenocarcinoma tissues from pathology archives, fully anonymized and approved by an ethics committee.
