givkashi/Awesome-unet-like-transformers
Awesome UNet with Transformer
This is a curated list of research papers on using UNet with Transformers for medical image analysis. It helps researchers and practitioners explore cutting-edge techniques for tasks like identifying tumors or anatomical structures in medical scans. The resource provides paper titles, publication details, and often links to the full papers and accompanying code, serving those who work with medical imaging data.
No commits in the last 6 months.
Use this if you are a researcher or practitioner in medical imaging looking for the latest academic work on segmentation techniques using UNet and Transformer architectures.
Not ideal if you are looking for ready-to-use software, tutorials, or general introductions to medical image processing, as this is a list of research papers.
Stars
69
Forks
2
Language
—
License
—
Last pushed
Feb 04, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/givkashi/Awesome-unet-like-transformers"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
tue-mps/eomt
[CVPR 2025 Highlight] Official code and models for Encoder-only Mask Transformer (EoMT).
OSUPCVLab/SegFormer3D
Official Implementation of SegFormer3D: an Efficient Transformer for 3D Medical Image...
jeya-maria-jose/Medical-Transformer
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image...
davidiommi/Pytorch--3D-Medical-Images-Segmentation--SALMON
Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation...