Comparative Analysis of YOLOv5 and YOLOv8 for Tear Film Lipid Layer Detection: Architectural Disparities, Performance Metrics, and Future Implications-Reference-Cited by-同舟云学术

Comparative Analysis of YOLOv5 and YOLOv8 for Tear Film Lipid Layer Detection: Architectural Disparities, Performance Metrics, and Future Implications

Published:2023-10-06 Issue: Volume:12 Page:147-150
ISSN:
Container-title:2023 International Conference on Computer Science and Automation Technology (CSAT)
language:
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Author:

Wang Mini Han¹,Lin Zhiyuan²,Zeng Peijin²,Hu Wenhan³,Liu Haoyang⁴,Liu Yunxiao⁴,Hou Guanghui⁵,Chong Kelvin KL¹,Yu Xiangrong⁶

Affiliation:

1. Chinese University of Hong Kong,The Faculty of Medicine,Hong Kong,China

2. Beijing Institute of Technology,Zhuhai,China

3. City University of Macau,The Faculty of Data Science,Macau,China

4. Guangdong Medical University,Dongguan,China

5. Zhuhai Aier Eye Hospital,Zhuhai,China

6. Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University),Zhuhai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10471591/10471598/10471605.pdf?arnumber=10471605

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4. Advanced Diagnosis Method Analysis of the Dry Eye Disease: A Bibliographic Study (20 12–2022)[J];Wang;Clinical Medicine Frontiers.,2022

5. AI -based Advanced approaches and dry eye disease detection based on multi-source evidence: Cases, applications, issues, and future directions[J];Wang,2023

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