ST-Unet: Swin Transformer boosted U-Net with Cross-Layer Feature Enhancement for medical image segmentation

Jing Zhang; Qiuge Qin; Qi Ye; Tong Ruan

doi:10.1016/j.compbiomed.2022.106516

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ST-Unet: Swin Transformer boosted U-Net with Cross-Layer Feature Enhancement for medical image segmentation

Jing Zhang Qiuge Qin Qi Ye Tong Ruan

Year: 2023 Journal: Computers in Biology and Medicine Vol: 153 Pages: 106516-106516 Publisher: Elsevier BV

DOI: 10.1016/j.compbiomed.2022.106516

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Keywords:

Computer science Segmentation Encoder Artificial intelligence Convolutional neural network Pattern recognition (psychology) Image segmentation Feature (linguistics) Transformer Deep learning Dice Mathematics Engineering

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Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

ST-Unet: Swin Transformer boosted U-Net with Cross-Layer Feature Enhancement for medical image segmentation

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Citation History

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