Fast and accurate automated recognition of the dominant cells from fecal images based on Faster R-CNN.

Zhang, Jing; Wang, Xiangzhou; Ni, Guangming; Liu, Juanxiu; Hao, Ruqian; Liu, Lin; Liu, Yong; Du, Xiaohui; Xu, Fan

Zhang, Jing; Wang, Xiangzhou; Ni, Guangming; Liu, Juanxiu; Hao, Ruqian; Liu, Lin; Liu, Yong; Du, Xiaohui; Xu, Fan.

Afiliação

Zhang J; MOEMIL Laboratory, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.
Wang X; MOEMIL Laboratory, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.
Ni G; MOEMIL Laboratory, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.
Liu J; MOEMIL Laboratory, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.
Hao R; MOEMIL Laboratory, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.
Liu L; MOEMIL Laboratory, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.
Liu Y; MOEMIL Laboratory, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China.
Du X; MOEMIL Laboratory, School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, Sichuan, China. xiaohuie@126.com.
Xu F; Department of Public Health, Chengdu Medical College, Chengdu, 610500, Sichuan, China. xufan@cmc.edu.cn.

Sci Rep ; 11(1): 10361, 2021 05 14.

Article em En | MEDLINE | ID: mdl-33990662

Assuntos

Aprendizado Profundo; Doenças do Sistema Digestório/diagnóstico; Fezes/citologia; Processamento de Imagem Assistida por Computador/métodos; Humanos; Análise de Componente Principal

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Doenças do Sistema Digestório / Fezes / Aprendizado Profundo Tipo de estudo: Guideline / Observational_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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