Classification of renal biopsy direct immunofluorescence image using multiple attention convolutional neural network.

Zhang, Liang; Li, Ming; Wu, Yongfei; Hao, Fang; Wang, Chen; Han, Weixia; Niu, Dan; Zheng, Wen

Zhang, Liang; Li, Ming; Wu, Yongfei; Hao, Fang; Wang, Chen; Han, Weixia; Niu, Dan; Zheng, Wen.

Afiliação

Zhang L; College of Data Science, Taiyuan University of Technology, Taiyuan, 030024, China.
Li M; College of Data Science, Taiyuan University of Technology, Taiyuan, 030024, China. Electronic address: liming01@tyut.edu.cn.
Wu Y; College of Data Science, Taiyuan University of Technology, Taiyuan, 030024, China. Electronic address: wuyongfei@tyut.edu.cn.
Hao F; College of Data Science, Taiyuan University of Technology, Taiyuan, 030024, China.
Wang C; Department of Pathology, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Han W; Department of Pathology, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Niu D; Department of Pathology, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Zheng W; College of Data Science, Taiyuan University of Technology, Taiyuan, 030024, China.

Comput Methods Programs Biomed ; 214: 106532, 2022 Feb.

Article em En | MEDLINE | ID: mdl-34852936

Assuntos

Processamento de Imagem Assistida por Computador; Redes Neurais de Computação; Atenção; Biópsia; Técnica Direta de Fluorescência para Anticorpo

Palavras-chave

Direct immunofluorescence images; Image classification; Kidney pathology; Multiple attention CNN

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Redes Neurais de Computação Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

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