RAC-CNN: multimodal deep learning based automatic detection and classification of rod and cone photoreceptors in adaptive optics scanning light ophthalmoscope images.

Cunefare, David; Huckenpahler, Alison L; Patterson, Emily J; Dubra, Alfredo; Carroll, Joseph; Farsiu, Sina

Cunefare, David; Huckenpahler, Alison L; Patterson, Emily J; Dubra, Alfredo; Carroll, Joseph; Farsiu, Sina.

Afiliação

Cunefare D; Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Huckenpahler AL; Department of Cell Biology, Neurobiology, & Anatomy, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Patterson EJ; Department of Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Dubra A; Department of Ophthalmology, Stanford University, Palo Alto, CA 94303, USA.
Carroll J; Department of Cell Biology, Neurobiology, & Anatomy, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Farsiu S; Department of Ophthalmology & Visual Sciences, Medical College of Wisconsin, Milwaukee, WI 53226, USA.

Biomed Opt Express ; 10(8): 3815-3832, 2019 Aug 01.

Article em En | MEDLINE | ID: mdl-31452977

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article