CRAUNet: A cascaded residual attention U-Net for retinal vessel segmentation.

Dong, Fangfang; Wu, Dengyang; Guo, Chenying; Zhang, Shuting; Yang, Bailin; Gong, Xiangyang

Dong, Fangfang; Wu, Dengyang; Guo, Chenying; Zhang, Shuting; Yang, Bailin; Gong, Xiangyang.

Afiliação

Dong F; School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, 310018, China. Electronic address: fangdong12@aliyun.com.
Wu D; School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, 310018, China.
Guo C; School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, 310018, China.
Zhang S; School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, 310018, China.
Yang B; School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, 310018, China.
Gong X; Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou, 310014, China.

Comput Biol Med ; 147: 105651, 2022 08.

Article em En | MEDLINE | ID: mdl-35635903

Assuntos

Algoritmos; Vasos Retinianos; Atenção; Progressão da Doença; Humanos; Processamento de Imagem Assistida por Computador/métodos; Curva ROC; Vasos Retinianos/diagnóstico por imagem

Palavras-chave

Attention; DropBlock; Retinal vessel segmentation; U-Net

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vasos Retinianos / Algoritmos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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