Developing a Continuous Severity Scale for Macular Telangiectasia Type 2 Using Deep Learning and Implications for Disease Grading-Reference-Cited by-同舟云学术

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Developing a Continuous Severity Scale for Macular Telangiectasia Type 2 Using Deep Learning and Implications for Disease Grading

Published:2024-02 Issue:2 Volume:131 Page:219-226
ISSN:0161-6420
Container-title:Ophthalmology
language:en
Short-container-title:Ophthalmology

Author:

Wu Yue,Egan Catherine^ORCID,Olvera-Barrios Abraham^ORCID,Scheppke Lea,Peto Tunde^ORCID,Charbel Issa Peter^ORCID,Heeren Tjebo F.C.^ORCID,Leung Irene^ORCID,Rajesh Anand E.,Tufail Adnan^ORCID,Lee Cecilia S.^ORCID,Chew Emily Y.^ORCID,Friedlander Martin,Lee Aaron Y.^ORCID

Funder

Consejo Nacional de Ciencia y Tecnología

National Institutes of Health

National Institute on Aging

National Eye Institute

Research to Prevent Blindness

Lowy Medical Research Institute

Publisher

Elsevier BV

Subject

Ophthalmology

Reference17 articles.

1. Idiopathic juxtafoveolar retinal telangiectasis. Update of classification and follow-up study;Gass;Ophthalmology,1993

2. Macular telangiectasia type 2: a classification system using multimodal imaging. MacTel Project report number 10;Chew;Ophthalmol Sci,2023

3. Microperimetric assessment of patients with type 2 idiopathic macular telangiectasia;Charbel Issa;Invest Ophthalmol Vis Sci,2007

4. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs;Gulshan;JAMA,2016

5. Automated grading of age-related macular degeneration from color fundus images using deep convolutional neural networks;Burlina;JAMA Ophthalmol,2017

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