Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network.

Wang, Lei; Gu, Juan; Chen, Yize; Liang, Yuanbo; Zhang, Weijie; Pu, Jiantao; Chen, Hao

Wang, Lei; Gu, Juan; Chen, Yize; Liang, Yuanbo; Zhang, Weijie; Pu, Jiantao; Chen, Hao.

Afiliação

Wang L; School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
Gu J; Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, Nanjing, 211189, China.
Chen Y; School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
Liang Y; School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
Zhang W; School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, 325027, China.
Pu J; Departments of Radiology and Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Chen H; Departments of Radiology and Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA.

Pattern Recognit ; 1122021 Apr.

Article em En | MEDLINE | ID: mdl-34354302

Palavras-chave

U-Net; color fundus images; deep learning; optic disc; segmentation

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Pattern Recognit Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google