jeya-maria-jose/Medical-Transformer
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
This project helps medical professionals, researchers, and data scientists accurately identify and outline specific structures or anomalies within medical images. You input medical scans (like MRI, CT, or microscopy images), and it outputs precise segmentation masks, highlighting areas of interest like tumors or organs. This is designed for anyone working with medical imaging data who needs highly accurate automated image analysis.
857 stars. No commits in the last 6 months.
Use this if you need to perform precise segmentation on medical images, especially when dealing with datasets that are smaller than typical computer vision datasets.
Not ideal if you are looking for a general-purpose image segmentation tool outside of medical imaging or if you prefer a system with a simpler, less code-intensive setup.
Stars
857
Forks
177
Language
Python
License
MIT
Last pushed
Feb 23, 2023
Commits (30d)
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