Automatic Multilabel Classification of Multiple Fundus Diseases Based on Convolutional Neural Network With Squeeze-and-Excitation Attention-Reference-Cited by-同舟云学术

Automatic Multilabel Classification of Multiple Fundus Diseases Based on Convolutional Neural Network With Squeeze-and-Excitation Attention

Published:2023-01-20 Issue:1 Volume:12 Page:22
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Lu Zhenzhen¹,Miao Jingpeng²,Dong Jingran¹,Zhu Shuyuan¹,Wu Penghan³,Wang Xiaobing⁴⁵,Feng Jihong¹

Affiliation:

1. Department of Biomedical Engineering, Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing University of Technology, Beijing, China

2. Beijing Tongren Eye Center, Beijing Ophthalmology & Visual Sciences Key Lab, Beijing Tongren Hospital, Capital Medical University, Beijing, China

3. Fan Gongxiu Honors College, Beijing University of Technology, Beijing, China

4. Sports and Medicine Integrative Innovation Center, Capital University of Physical Education and Sports, Beijing, China

5. Department of Ophthalmology, Beijing Boai Hospital, China Rehabilitation Research Center, School of Rehabilitation Medicine, Capital Medical University, Beijing, China

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

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