An Improved Semantic Segmentation Method for Retinal OCT Images Based on High-Resolution Network and Polarized Self-Attention Mechanism-Reference-Cited by-同舟云学术

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An Improved Semantic Segmentation Method for Retinal OCT Images Based on High-Resolution Network and Polarized Self-Attention Mechanism

Published:2024-01-26 Issue: Volume:70 Page:76-81
ISSN:
Container-title:Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing
language:
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Author:

Fan Wenjun¹^ORCID,Wang Feng¹^ORCID,Zheng Runan²^ORCID,Wang Xingze¹^ORCID

Affiliation:

1. School of Biological Science & Medical Engineering, Southeast University, China

2. Suzhou MicroClear Medical Instrument Co., Ltd, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3665689.3665702

Reference25 articles.

1. Retinal Imaging and Image Analysis;Abramoff M.D;IEEE Reviews in Biomedical Engineering 3.,2010

2. The Burden of Genetically Determined Eye Disease;Green J S;British Journal of Ophthalmology,1986

3. "Sensory Reception: Human Vision: Structure and function of the Human Eye" vol. 27, Encyclopedia Britannica, 1987.

4. OCT for Glaucoma Diagnosis, Screening and Detection of Glaucoma Progression;Bussel Igor I;British Journal of Ophthalmology

5. Thickness of individual layers at the macula and associated factors: The Beijing Eye Study 2011;Wang Qian;BMC ophthalmology 20.1.,2020

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