xmindflow/Awesome-Transformer-in-Medical-Imaging

[MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

42
/ 100
Emerging

This resource provides a comprehensive list of research papers and associated code for using Vision Transformers (a type of AI model) in medical imaging. It's designed for medical researchers, clinicians, and scientists who are exploring advanced AI techniques to improve tasks like disease diagnosis, image analysis, and treatment planning. You can find curated information on how these models are applied to various medical imaging challenges, from classifying diseases in X-rays to segmenting anomalies in scans.

218 stars. No commits in the last 6 months.

Use this if you are a medical professional or researcher looking to understand and apply cutting-edge AI models (Vision Transformers) to medical image analysis tasks, and you need a curated list of relevant research and code.

Not ideal if you are looking for an out-of-the-box software tool to directly process medical images without engaging with academic research or code.

medical-image-analysis clinical-diagnosis-support radiology-ai biomedical-research computer-aided-detection
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 16 / 25

How are scores calculated?

Stars

218

Forks

26

Language

License

GPL-3.0

Last pushed

Nov 10, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/transformers/xmindflow/Awesome-Transformer-in-Medical-Imaging"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.