JunMa11/SOTA-MedSeg resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1676 stars · 205 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated list of state-of-the-art medical image segmentation methods organized by MICCAI and other segmentation challenges. It summarizes each challenge's segmentation target, image modality, dataset size, and the winning network architecture.

Use cases

• find state-of-the-art methods for brain tumor segmentation
• compare winning architectures across medical segmentation challenges
• research baseline models for CT and MRI organ segmentation
• find datasets for cardiac MRI segmentation
• survey U-Net variants used in medical imaging competitions
• pick a starting model for abdominal organ segmentation

When to choose

• you need a survey of top-performing medical segmentation models
• you are choosing a baseline architecture for a medical imaging task
• you want links to challenge datasets and leaderboards

When to avoid

• you need runnable code or a maintained library rather than a reference list
• you need non-medical image segmentation resources
• you need methods newer than the list's last update

Facets

learning-resource · maturity maintenance

image-processing machine-learning deep-learning healthcare computer-vision machine-learning awesome-lists cross-platform medical-imaging segmentation curated-list challenges miccai research

Member repositories

For agents

markdown · JSON · MCP: product_card(name="JunMa11/SOTA-MedSeg")