Shypd.aiThe largest open index of AI toolsMedical-Transformer is an open-source AI tool that provides Pytorch code for medical image segmentation. It utilizes gated axial-attention and a Local-Global training strategy for improved performance.
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Medical-Transformer offers the official Pytorch code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation," a paper presented at MICCAI 2021. This tool is designed to address the challenges of training Transformer-based networks on limited medical imaging datasets by introducing a Gated Axial-Attention model with an additional control mechanism in the self-attention module. It also incorporates a Local-Global (LoGo) training strategy to learn both global and local features from whole images and patches, respectively. The repository includes code for Gated Axial Attention U-Net and MedT, providing a robust framework for developers and researchers in medical image analysis.
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