KC-UNet: Enhancing U-Net With KAN and CBAM for Medical Image Segmentation

Medical image segmentation is a critical task in medical image analysis. However, traditional convolutional neural network (CNN) based methods are limited in modeling long-range dependencies, while Transformer-based segmentation models, though effective, suffer from high computational complexity due...

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書目詳細資料

Principais autores:	Jie Xu, Haoqing Gao, Zhifeng Wang
格式:	Artigo
語言:	Inglês
出版:	IEEE 2025-01-01
叢編:	IEEE Access
主題:	CBAM KAN medical image segmentation U-Net
在線閱讀:	https://ieeexplore.ieee.org/document/11146708/
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