中文版 | English
Title

Structure-Oriented Transformer for retinal diseases grading from OCT images

Author
Corresponding AuthorHu, Yan
Publication Years
2023-01
DOI
Source Title
ISSN
0010-4825
EISSN
1879-0534
Volume152
Abstract
Retinal diseases are the leading causes of vision temporary or permanent loss. Precise retinal disease grading is a prerequisite for early intervention or specific therapeutic schedules. Existing works based on Convolutional Neural Networks (CNN) focus on typical locality structures and cannot capture long-range dependencies. But retinal disease grading relies more on the relationship between the local lesion and the whole retina, which is consistent with the self-attention mechanism. Therefore, the paper proposes a novel Structure-Oriented Transformer (SoT) framework to further construct the relationship between lesions and retina on clinical datasets. To reduce the dependence on the amount of data, we design structure guidance as a model-oriented filter to emphasize the whole retina structure and guide relation construction. Then, we adopt the pre-trained vision transformer that efficiently models all feature patches’ relationships via transfer learning. Besides, to make the best of all output tokens, a Token vote classifier is proposed to obtain the final grading results. We conduct extensive experiments on one clinical neovascular Age-related Macular Degeneration (nAMD) dataset. The experiments demonstrate the effectiveness of SoT components and improve the ability of relation construction between lesion and retina, which outperforms the state-of-the-art methods for nAMD grading. Furthermore, we evaluate our SoT on one publicly available retinal diseases dataset, which proves our algorithm has classification superiority and good generality.
© 2022 Elsevier Ltd
Indexed By
EI ; SCI
Language
English
SUSTech Authorship
First ; Corresponding
Funding Project
This work was supported in part by The National Natural Science Foundation of China ( 8210072776 ), Guangdong Provincial Department of Education, China ( 2020ZDZX3043 ), Guangdong Basic and Applied Basic Research Foundation, China ( 2021A1515012195 ), Guangdong Provincial Key Laboratory, China ( 2020B121201001 ), and Shenzhen Natural Science Fund, China ( JCYJ20200109140820699 ), the Stable Support Plan Program, China ( 20200925174052004 ) and Shenzhen Stable Support Plan Program, China ( 20220815111736001 ).
WOS Accession No
WOS:000911582900001
Publisher
EI Accession Number
20225213290089
EI Keywords
Classification (of information) ; Convolutional neural networks ; Grading ; Ophthalmology
ESI Classification Code
Medicine and Pharmacology:461.6 ; Information Theory and Signal Processing:716.1 ; Optical Devices and Systems:741.3 ; Information Sources and Analysis:903.1
ESI Research Field
COMPUTER SCIENCE
Data Source
EV Compendex
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/519641
DepartmentResearch Institute of Trustworthy Autonomous Systems
工学院_计算机科学与工程系
Affiliation
1.Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering, Southern University of Science and Technology, Guangdong, Shenzhen; 51805, China
2.Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Guangdong, Shenzhen; 51805, China
3.Ningbo Eye hospital, Zhenjiang, Ningbo; 315000, China
4.Osaka University Graduate School of Medicine, Osaka, Suita, Japan
First Author AffilicationResearch Institute of Trustworthy Autonomous Systems;  Department of Computer Science and Engineering
Corresponding Author AffilicationResearch Institute of Trustworthy Autonomous Systems;  Department of Computer Science and Engineering
First Author's First AffilicationResearch Institute of Trustworthy Autonomous Systems;  Department of Computer Science and Engineering
Recommended Citation
GB/T 7714
Shen, Junyong,Hu, Yan,Zhang, Xiaoqing,et al. Structure-Oriented Transformer for retinal diseases grading from OCT images[J]. COMPUTERS IN BIOLOGY AND MEDICINE,2023,152.
APA
Shen, Junyong,Hu, Yan,Zhang, Xiaoqing,Gong, Yan,Kawasaki, Ryo,&Liu, Jiang.(2023).Structure-Oriented Transformer for retinal diseases grading from OCT images.COMPUTERS IN BIOLOGY AND MEDICINE,152.
MLA
Shen, Junyong,et al."Structure-Oriented Transformer for retinal diseases grading from OCT images".COMPUTERS IN BIOLOGY AND MEDICINE 152(2023).
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