# sfikas/medical-imaging-datasets

A list of Medical imaging datasets.

Repository: https://github.com/sfikas/medical-imaging-datasets
Canonical: https://ross.abutalabs.com/products/medical-imaging-datasets
License Family: other
Topics: medical-imaging, image-dataset
Last push: 2024-09-12T13:11:08+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3401, "days_push": 720, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2568, forks 441 (observed 2026-08-28T04:07:01.277884+00:00)

## What it is
A curated list of medical imaging datasets covering radiology, histopathology, microscopy, and multimodal databases. It serves as a reference catalog linking to publicly available medical image collections such as TCIA, ADNI, OASIS, and FastMRI.

## Use cases
- find public medical imaging datasets for training models
- locate MRI or CT scan datasets for research
- find mammography datasets for breast cancer detection
- source histopathology slide datasets
- find datasets for a medical image segmentation project

## When to choose
- you need a starting point to discover medical imaging datasets
- you are surveying available public radiology or pathology data
- you want links to well-known medical imaging benchmarks

## When to avoid
- you need actual image data rather than links to it
- you need a maintained, licensed software tool
- you need datasets with guaranteed availability, since links may rot

## Facets
- artifact type: dataset
- maturity: maintenance
- function: image-processing, machine-learning, data-science
- domain: healthcare, machine-learning, image-processing, awesome-lists
- platform: cross-platform
- tags: medical-imaging, curated-list, datasets, radiology, histopathology, mri, ct-scan, x-ray

## Member repositories
- sfikas/medical-imaging-datasets (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:01.277884+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:23:22.451924+00:00, confidence not recorded.
  - readme: https://github.com/sfikas/medical-imaging-datasets (fetched 2026-08-28T04:07:01.277884+00:00, sha 6ca376321f84)
- Data as of 2026-08-30T08:39:29.467469+00:00.