GH-UNet: group-wise hybrid convolution-VIT for robust medical image segmentation

GH-UNet: group-wise hybrid convolution-VIT for robust medical image segmentation

Abstract Medical image segmentation is vital for accurate diagnosis. While U-Net-based models are effective, they struggle to capture long-range dependencies in complex anatomy. We propose GH-UNet, a Group-wise Hybrid Convolution-ViT model within the U-Net framework, to address this limitation. GH-U...

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Bibliographic Details
Main Authors: Shengxiang Wang, Ge Li, Min Gao, Linlin Zhuo, Mingzhe Liu, Zhizhong Ma, Wei Zhao, Xiangzheng Fu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01829-2
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https://doi.org/10.1038/s41746-025-01829-2

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