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

ISIC Archive — International Skin Imaging Collaboration

ISIC (Memorial Sloan Kettering and partners)

Registry / portal Open download CC-0 / CC BY-NC per contributor

The public backbone of skin-cancer AI; strongly skewed towards light skin tones, which every model card built on it should say.

70 000 dermoscopic images tens of thousands of images with diagnosis; annual challenge subsets (e.g. 2020: 33,126 images)

Dermoscopy Classification Detection Segmentation JPEGCSV

Malignant Melanoma Non-Melanoma Skin Cancer (NMSC)

Dataset site 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.