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

BraTS — Brain Tumor Segmentation Challenge

BraTS organisers (University of Pennsylvania, Indiana University, MICCAI)

Benchmark / challenge Free registration challenge terms (registration on Synapse)

The long-running benchmark for brain tumour segmentation from MRI; nnU-Net-based methods have dominated its leaderboards.

1 250 patients ≥1,250 glioma cases since 2021; later editions add paediatric, metastasis, meningioma and Sub-Saharan Africa tracks

MRI Segmentation NIfTI

Adult-Type Diffuse Gliomas

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.