Automated Segmentation of Autofluorescence Lesions in Stargardt Disease.

Zhao, Peter Y; Branham, Kari; Schlegel, Dana; Fahim, Abigail T; Jayasundera, K Thiran

Zhao, Peter Y; Branham, Kari; Schlegel, Dana; Fahim, Abigail T; Jayasundera, K Thiran.

Afiliação

Zhao PY; Department of Ophthalmology and Visual Sciences, W.K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan.
Branham K; Department of Ophthalmology and Visual Sciences, W.K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan.
Schlegel D; Department of Ophthalmology and Visual Sciences, W.K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan.
Fahim AT; Department of Ophthalmology and Visual Sciences, W.K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan.
Jayasundera KT; Department of Ophthalmology and Visual Sciences, W.K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan. Electronic address: thiran@med.umich.edu.

Ophthalmol Retina ; 6(11): 1098-1104, 2022 11.

Article em En | MEDLINE | ID: mdl-35644472

Assuntos

Algoritmos; Imagem Óptica; Humanos; Doença de Stargardt; Estudos Retrospectivos; Estudos Transversais

Palavras-chave

Autofluorescence; Automated segmentation; Deep learning; Machine Learning; Stargardt disease

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Imagem Óptica Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Ophthalmol Retina Ano de publicação: 2022 Tipo de documento: Article

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