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.

Affiliation

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 de En | MEDLINE | ID: mdl-35124367

Sujet(s)
Mots clés

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

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Artère centrale de la rétine Type d'étude: Clinical_trials / Prognostic_studies Limites: Humans Langue: En Journal: Med Image Anal Sujet du journal: DIAGNOSTICO POR IMAGEM Année: 2022 Type de document: Article Pays d'affiliation: Chine

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