High-Resolution Swin Transformer for Automatic Medical Image Segmentation

1 code implementation • 23 Jul 2022 • Chen Wei, Shenghan Ren, Kaitai Guo, Haihong Hu, Jimin Liang

Most of the existing Transformer-based networks for medical image segmentation are U-Net-like architecture that contains an encoder that utilizes a sequence of Transformer blocks to convert the input medical image from high-resolution representation into low-resolution feature maps and a decoder that gradually recovers the high-resolution representation from low-resolution feature maps.

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