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Shengxian Yan

As seen in: MDPI
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Articles

MDEU-Net: Medical Image Segmentation Network Based on Multi-Head Multi-Scale Cross-Axis

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By Shengxian Yan, Yuyang Lei, Xiao Gao
| preprints.org
You are already at the latest version Significant advances have been made in the application of attention mechanisms to medical image segmentation and these advances are notably driven by the development of the cross axis attention mechanism. However, Challenges remain in handling complex images particularly in multi-scale feature extraction and fine-detail capture.
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BAG-Net: A Novel Architecture for Enhanced Medical Image Segmentation with Global Context Attention and Boundary Self-Attention

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By Yuyang Lei, Shengxian Yan, Xiang Li
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Adaptive Detection and Classification of Brain Tumour Images Based on Photoacoustic Imaging

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By Yi Chen, Yufei Jiang, Ruonan He, Shengxian Yan
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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