DeepDrRVO: A GAN-auxiliary two-step masked transformer framework benefits early recognition and differential diagnosis of retinal vascular occlusion from color fundus photographs

doi:10.1016/j.compbiomed.2023.107148

科研成果详情

题名	DeepDrRVO: A GAN-auxiliary two-step masked transformer framework benefits early recognition and differential diagnosis of retinal vascular occlusion from color fundus photographs
作者	Yang, Zijian1; Zhang, Yibo1; Xu, Ke 1; Sun, Jie1; Wu, Yue 2; Zhou, Meng1,3
发表日期	2023-09
发表期刊	Computers in biology and medicine 影响因子和分区
语种	英语
原始文献类型	Journal Article
关键词	Deep learning Differential diagnosis Early recognition Retinal vascular occlusions
其他关键词	DIABETIC-RETINOPATHY ; ARTERY-OCCLUSION ; VEIN OCCLUSION ; VALIDATION
摘要	Retinal vascular occlusion (RVO) are common causes of visual impairment. Accurate recognition and differential diagnosis of RVO are unmet medical needs for determining appropriate treatments and health care to properly manage the ocular condition and minimize the damaging effects. To leverage deep learning as a potential solution to detect RVO reliably, we developed a deep learning model on color fundus photographs (CFPs) using a two-step masked SwinTransformer with a Few-Sample Generator (FSG)-auxiliary training framework (called DeepDrRVO) for early and differential RVO diagnosis. The DeepDrRVO was trained on the training set from the in-house cohort and achieved consistently high performance in early recognition and differential diagnosis of RVO in the validation set from the in-house cohort with an accuracy of 86.3%, and other three independent multi-center cohorts with the accuracy of 92.6%, 90.8%, and 100%. Further comparative analysis showed that the proposed DeepDrRVO outperforms conventional state-of-the-art classification models, such as ResNet18, ResNet50d, MobileNetv3, and EfficientNetb1. These results highlight the potential benefits of the deep learning model in automatic early RVO detection and differential diagnosis for improving clinical outcomes and providing insights into diagnosing other ocular diseases with a few-shot learning challenge. The DeepDrRVO is publicly available on https://github.com/ZhouSunLab-Workshops/DeepDrRVO.
出版者	Elsevier Ltd
ISSN	0010-4825
EISSN	1879-0534
卷号	163
DOI	10.1016/j.compbiomed.2023.107148
页数	12
WOS类目	Biology ; Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Mathematical & Computational Biology
WOS研究方向	Life Sciences & Biomedicine - Other Topics ; Computer Science ; Engineering ; Mathematical & Computational Biology
WOS记录号	WOS:001023643000001
收录类别	PUBMED ; EI ; SCIE ; SCOPUS
在线发表日期	2023-06
EI入藏号	20232614306642
EI主题词	Deep learning
EI分类号	461.4 Ergonomics and Human Factors Engineering ; 461.6 Medicine and Pharmacology ; 746 Imaging Techniques
URL	查看原文
PubMed ID	37329618
SCOPUSEID	2-s2.0-85162910244
通讯作者地址	[Zhou, Meng]National Clinical Research Center for Ocular Diseases,Eye Hospital,Wenzhou Medical University,Wenzhou,325027,China ; [Sun, Jie]National Clinical Research Center for Ocular Diseases,Eye Hospital,Wenzhou Medical University,Wenzhou,325027,China ; [Wu, Yue]The Affiliated Ningbo Eye Hospital of Wenzhou Medical University,Ningbo,315042,China
Scopus学科分类	Health Informatics;Computer Science Applications
TOP期刊	TOP期刊
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/181181
专题	眼视光学院（生物医学工程学院）、附属眼视光医院其他_附属宁波市眼科医院
通讯作者	Sun, Jie; Wu, Yue; Zhou, Meng
作者单位	1.National Clinical Research Center for Ocular Diseases,Eye Hospital,Wenzhou Medical University,Wenzhou,325027,China; 2.The Affiliated Ningbo Eye Hospital of Wenzhou Medical University,Ningbo,315042,China; 3.Institute of PSI Genomics,Wenzhou,325027,China
第一作者单位	眼视光学院（生物医学工程学院）、附属眼视光医院
通讯作者单位	眼视光学院（生物医学工程学院）、附属眼视光医院; 其他_附属宁波市眼科医院
第一作者的第一单位	眼视光学院（生物医学工程学院）、附属眼视光医院
推荐引用方式 GB/T 7714	Yang, Zijian,Zhang, Yibo,Xu, Ke,et al. DeepDrRVO: A GAN-auxiliary two-step masked transformer framework benefits early recognition and differential diagnosis of retinal vascular occlusion from color fundus photographs[J]. Computers in biology and medicine,2023,163.
APA	Yang, Zijian, Zhang, Yibo, Xu, Ke, Sun, Jie, Wu, Yue, & Zhou, Meng. (2023). DeepDrRVO: A GAN-auxiliary two-step masked transformer framework benefits early recognition and differential diagnosis of retinal vascular occlusion from color fundus photographs. Computers in biology and medicine, 163.
MLA	Yang, Zijian,et al."DeepDrRVO: A GAN-auxiliary two-step masked transformer framework benefits early recognition and differential diagnosis of retinal vascular occlusion from color fundus photographs".Computers in biology and medicine 163(2023).