Towards more efficient ophthalmic disease classification and lesion location via convolution transformer-Reference-Cited by-同舟云学术

Towards more efficient ophthalmic disease classification and lesion location via convolution transformer

Published:2022-06 Issue: Volume:220 Page:106832
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Wen Huajie,Zhao Jian^ORCID,Xiang Shaohua,Lin Lin,Liu Chengjian,Wang Tao,An Lin,Liang Lixin^ORCID,Huang Bingding^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference28 articles.

1. Review of OCT and fundus images for detection of Macular Edema;Hassan,2015

2. Associations between recent and established ophthalmic conditions and risk of Alzheimer’s disease;Lee;Alzheimers Dement.,2019

3. Age-related macular degeneration and choroidal neovascularization;Freund;Am. J. Ophthalmol.,1993

4. Clinically Significant macular edema and survival in type 1 and type 2 diabetes - ScienceDirect;Hirai;Am. J. Ophthalmol.,2008

5. Drusen in age-related macular degeneration: pathogenesis, natural course, and laser photocoagulation–induced regression;Zarbin;Surv. Ophthalmol.,1999

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