USCT-UNet: Rethinking the Semantic Gap in U-Net Network From U-Shaped Skip Connections With Multichannel Fusion Transformer

Medical image segmentation is a crucial component of computer-aided clinical diagnosis, with state-of-the-art models often being variants of U-Net. Despite their success, these models’ skip connections introduce an unnecessary semantic gap between the encoder and decoder, which hinders th...

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Main Authors: Xiaoshan Xie (Author), Min Yang (Author)
Format: Book
Published: IEEE, 2024-01-01T00:00:00Z.
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