ScleraSegNet: an Improved U-Net Model with Attention for Accurate Sclera Segmentation-Reference-Cited by-同舟云学术

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ScleraSegNet: an Improved U-Net Model with Attention for Accurate Sclera Segmentation

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Biometrics (ICB)
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Author:

Wang Caiyong,He Yong,Liu Yunfan,He Zhaofeng,He Ran,Sun Zhenan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8967515/8987230/08987270.pdf?arnumber=8987270

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An improved medical image segmentation framework with Channel-Height-Width-Spatial attention module;Engineering Applications of Artificial Intelligence;2024-10

2. SRU-Net: a novel spatiotemporal attention network for sclera segmentation and recognition;Pattern Analysis and Applications;2024-07-28

3. UDT: U‐shaped deformable transformer for subarachnoid haemorrhage image segmentation;CAAI Transactions on Intelligence Technology;2024-03-25

4. Robust Sclera Segmentation for Skin-Tone Agnostic Face Image Quality Assessment;2023 International Conference of the Biometrics Special Interest Group (BIOSIG);2023-09-20

5. IPAD: Iterative pruning with activation deviation for sclera biometrics;Journal of King Saud University - Computer and Information Sciences;2023-09

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