中文版 | English
Title

A Novel Local-Global Spatial Attention Network for Cortical Cataract Classification in AS-OCT

Author
Corresponding AuthorLiu,Jiang
DOI
Publication Years
2022
ISSN
0302-9743
EISSN
1611-3349
Source Title
Volume
13535 LNCS
Pages
262-273
Abstract
Cataracts are the leading causes of reversible blindness and visual impairment. Cortical cataract (CC) is one of the most common cataract types. Early intervention is a useful way to improve the vision of CC patients. Anterior segment optical coherence tomography (AS-OCT) is a new ophthalmic image type that can capture the cortex region clearly. To our best knowledge, no previous work has paid attention to AS-OCT image-based CC classification. Thus, this paper presents an effective local-global spatial fusion network (LGSF-Net) to automatically recognize the severity levels of CC. In the LGSF-Net, we construct a novel local-global spatial fusion (LGSF) attention block by incorporating the clinical prior knowledge of CC. The extensive experiments conduct on the CASIA2 AS-OCT dataset of CC, and the results show that our LGSF-Net achieves better performance than state-of-the-art attention-based convolutional neural networks (CNNs). Moreover, we also demonstrate the generalization of our method on the public ChestXRay2017 dataset through comparisons to existing methods.
Keywords
SUSTech Authorship
First ; Corresponding
Language
English
URL[Source Record]
Scopus EID
2-s2.0-85142746204
Data Source
Scopus
Citation statistics
Cited Times [WOS]:0
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/416583
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,Shenzhen,518055,China
2.TOMEY Corporation,Nagoya,4510051,Japan
3.Zhongshan Ophthalmic Center,Sun Yat-sen University,Guangzhou,510060,China
4.Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation,Southern University of Science and Technology,Shenzhen,518055,China
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;  Southern University of Science and Technology
First Author's First AffilicationResearch Institute of Trustworthy Autonomous Systems;  Department of Computer Science and Engineering
Recommended Citation
GB/T 7714
Xiao,Zunjie,Zhang,Xiaoqing,Sun,Qingyang,et al. A Novel Local-Global Spatial Attention Network for Cortical Cataract Classification in AS-OCT[C],2022:262-273.
Files in This Item:
There are no files associated with this item.
Related Services
Fulltext link
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Export to Excel
Export to Csv
Altmetrics Score
Google Scholar
Similar articles in Google Scholar
[Xiao,Zunjie]'s Articles
[Zhang,Xiaoqing]'s Articles
[Sun,Qingyang]'s Articles
Baidu Scholar
Similar articles in Baidu Scholar
[Xiao,Zunjie]'s Articles
[Zhang,Xiaoqing]'s Articles
[Sun,Qingyang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xiao,Zunjie]'s Articles
[Zhang,Xiaoqing]'s Articles
[Sun,Qingyang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.