A Comparison of YOLOv8 and DEtection TRansformer in the Context of Tear Meniscus Height Calculation Based on Ocular Surface Videos-Reference-Cited by-同舟云学术

A Comparison of YOLOv8 and DEtection TRansformer in the Context of Tear Meniscus Height Calculation Based on Ocular Surface Videos

Published:2024-02-27 Issue: Volume: Page:334-338
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Container-title:2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)
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Author:

Wang Mini Han¹,Lee Simon Ming-Yuen²,Hou Guanghui³,Liu Yunxiao⁴,Liu Haoyang⁵,Lin Zhiyuan⁶,Zeng Peijin⁶,Hu Wenhan⁷,Yu Yang³,Fang Xiaoxiao³,Zhou Ruoyu⁷,Chong Kelvin KL⁷

Affiliation:

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

2. The Hong Kong Polytechnic University,Hong Kong,China

3. Zhuhai Aier Eye Hospital,Zhuhai,China

4. Guangdong Medical University,Zhuhai,China

5. Guangdong Medical University,Dongguan,China

6. Beijing Institute of Technology,Zhuhai,China

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10485650/10485652/10485820.pdf?arnumber=10485820

Reference12 articles.

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2. Application of Keratograph and Fourier-Domain Optical Coherence Tomography in Measurements of Tear Meniscus Height

3. Can Explainable Artificial Intelligence Optimize the Data Quality of Machine Learning Model? Taking Meibomian Gland Dysfunction Detections as a Case Study

4. Automated Measurement of Tear Meniscus Height with the Kowa DR-1α Tear Interferometer in Both Healthy Subjects and Dry Eye Patients

5. Lipid layer thickness and tear meniscus height measurements for the differential diagnosis of evaporative dry eye subtypes