Tool

Awesome Transformers In Medical Imaging

Imaging / Computer Vision Radiology / Pathology MIT De-identified
1297 GitHub Stars
2 Open Issues
N/A Docker Support
2026-06-21 Last Updated

Technical Summary

Awesome Transformers In Medical Imaging is an open-source tool in the Imaging / Computer Vision domain.

Overview & Key Features

  • Description: A collection of resources on applications of Transformers in Medical Imaging.
  • Primary Domain: Radiology / Pathology (Imaging / Computer Vision).
  • Open-Source Repository: Verified source on GitHub with 1,295 stars and 195 forks.

Integration & Usage

Install and explore this repository directly from source:

git clone https://github.com/fahadshamshad/awesome-transformers-in-medical-imaging.git

💻 Quick Developer Integration

Embed or cite this asset in your research pipeline or GitHub README:

View on GitHub → Source Verified by OpenPHR Catalog
Student Fellowship Opportunity

🎓 Build World-Class Medical AI & Publish IEEE Research

Are you an ambitious student developer or researcher? Join the OpenPHR Digital Health & AI Fellowship led by Penn & MIT alumni to engineer publication-ready clinical AI portfolios.

Apply for Fellowship →

Similar Assets (Imaging / Computer Vision)

Tool

Awesome Single Cell

Awesome Single Cell is an open-source tool in the Imaging / Computer Vision domain. Overview...

⭐ 3856
Tool

Clinicalxlnet

Clinicalxlnet is an open-source tool in the Imaging / Computer Vision domain. ### Overview &...

⭐ 53
Tool

Dltk

Dltk is an open-source tool in the Imaging / Computer Vision domain. ### Overview &...

⭐ 1457