Deep learning-based classification of retinal atrophy using fundus autofluorescence imaging-Reference-Cited by-同舟云学术

Deep learning-based classification of retinal atrophy using fundus autofluorescence imaging

Published:2021-03 Issue: Volume:130 Page:104198
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Miere Alexandra^ORCID,Capuano Vittorio,Kessler Arthur,Zambrowski Olivia,Jung Camille,Colantuono Donato^ORCID,Pallone Carlotta^ORCID,Semoun Oudy,Petit Eric,Souied Eric

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

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4. Quantitative fundus autofluorescence in best vitelliform macular dystrophy: RPE lipofuscin is not increased in non-lesion areas of retina;Sparrow,2016

5. Retinal dystrophies associated with the PRPH2 gene;Boon,2014

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5. Quantification of Fundus Autofluorescence Features in a Molecularly Characterized Cohort of More Than 3500 Inherited Retinal Disease Patients from the United Kingdom;2024-03-28