TW-GAN: Topology and width aware GAN for retinal artery/vein classification.

Chen, Wenting; Yu, Shuang; Ma, Kai; Ji, Wei; Bian, Cheng; Chu, Chunyan; Shen, Linlin; Zheng, Yefeng

Chen, Wenting; Yu, Shuang; Ma, Kai; Ji, Wei; Bian, Cheng; Chu, Chunyan; Shen, Linlin; Zheng, Yefeng.

Afiliación

Chen W; Tencent Jarvis Lab, Tencent, Shenzhen, China; School of Computer Science & Software Engineering, Shenzhen University, China; Department of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
Yu S; Tencent Jarvis Lab, Tencent, Shenzhen, China.
Ma K; Tencent Jarvis Lab, Tencent, Shenzhen, China.
Ji W; Tencent Jarvis Lab, Tencent, Shenzhen, China.
Bian C; Tencent Jarvis Lab, Tencent, Shenzhen, China.
Chu C; Tencent HealthCare, Tencent, Shenzhen, China.
Shen L; School of Computer Science & Software Engineering, Shenzhen University, China.
Zheng Y; Tencent Jarvis Lab, Tencent, Shenzhen, China.

Med Image Anal ; 77: 102340, 2022 04.

Article en En | MEDLINE | ID: mdl-35124367

Asunto(s)

Arteria Retiniana; Humanos; Procesamiento de Imagen Asistido por Computador/métodos; Retina

Palabras clave

Artery/vein classification; Deep learning; Generative adversarial network; Retinal images; Topological connectivity

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Arteria Retiniana Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Revista: Med Image Anal Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos

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