Title | HA-Net: Hierarchical Attention Network Based on Multi-Task Learning for Ciliary Muscle Segmentation in AS-OCT |
Author | |
Publication Years | 2023
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DOI | |
Source Title | |
ISSN | 1558-2361
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Volume | PPIssue:99Pages:1-5 |
Keywords | |
URL | [Source Record] |
Indexed By | |
SUSTech Authorship | First
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WOS Accession No | WOS:001080557700002
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ESI Research Field | ENGINEERING
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Data Source | IEEE
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PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10256117 |
Citation statistics |
Cited Times [WOS]:0
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/567789 |
Department | Department of Computer Science and Engineering |
Affiliation | Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China |
First Author Affilication | Department of Computer Science and Engineering |
First Author's First Affilication | Department of Computer Science and Engineering |
Recommended Citation GB/T 7714 |
Bing Yang,Xiaoqing Zhang,Sanqian Li,et al. HA-Net: Hierarchical Attention Network Based on Multi-Task Learning for Ciliary Muscle Segmentation in AS-OCT[J]. IEEE Signal Processing Letters,2023,PP(99):1-5.
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APA |
Bing Yang,Xiaoqing Zhang,Sanqian Li,Risa Higashita,&Jiang Liu.(2023).HA-Net: Hierarchical Attention Network Based on Multi-Task Learning for Ciliary Muscle Segmentation in AS-OCT.IEEE Signal Processing Letters,PP(99),1-5.
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MLA |
Bing Yang,et al."HA-Net: Hierarchical Attention Network Based on Multi-Task Learning for Ciliary Muscle Segmentation in AS-OCT".IEEE Signal Processing Letters PP.99(2023):1-5.
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