AI in Oncology · AI Models

A researcher-grade catalog of AI models, datasets and open data needs in oncology — every card structured, sourced and dated.

Datasets, registries and benchmarks you can train or evaluate oncology models on — with access conditions, licences, sizes, annotations and the models already using them. { } export JSON

Data type Task Cancer Access Kind Search × Clear filters

TCIA — The Cancer Imaging Archive

NCI Cancer Imaging Program; hosted by the University of Arkansas for Medical Sciences

Registry / portal Open download mostly CC BY 3.0/4.0 per collection; some restricted collections

The main public archive of de-identified cancer imaging, organised into collections by disease and modality; the source of most public radiology training data in oncology.

200 collections hundreds of collections, tens of thousands of patients; DICOM with linked clinical and sometimes genomic data

CT MRI PET Mammography Histopathology (WSI)X-ray Segmentation Detection Classification Prognosis DICOMNIfTICSV

Pan-cancer

Dataset site used by models: 1 Open card →

Cards follow the cancer3.ai model-card standard: AI_MODEL_CARD_STANDARD.md. Corrections and new entries: contact the editorial team; every fact needs a public source.

This page is educational — it is not medical advice and does not replace consultation with an oncologist. Diagnostic and treatment decisions are made solely by specialist physicians.