Medical-Transformer
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
Run medical image segmentation models to analyze and process medical images using deep learning techniques.
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Free · no card · unsubscribe anytimeOfficial Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
Medical-Transformer has 861 stars on GitHub. It has been forked 177 times. Medical-Transformer is written mainly in Python. It has been in active development since 2021. Medical-Transformer is available under the MIT license. Its main topics are attention, deep-learning, medical-image-analysis, medical-imaging.
What is Medical-Transformer?
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
Is Medical-Transformer open source?
Medical-Transformer is an open-source project. It is released under the MIT license.
Is Medical-Transformer free?
Yes. Medical-Transformer is free and open source — you can use, modify and self-host it.
What license does Medical-Transformer use?
Medical-Transformer is available under the MIT license.
What language is Medical-Transformer written in?
Medical-Transformer is written mainly in Python.
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