The design and application of an automated microscope developed based on deep learning for fungal detection in dermatology.

Gao, Wenchao; Li, Meirong; Wu, Rong; Du, Weian; Zhang, Shanlin; Yin, Songchao; Chen, Zhirui; Huang, Huaiqiu

Gao, Wenchao; Li, Meirong; Wu, Rong; Du, Weian; Zhang, Shanlin; Yin, Songchao; Chen, Zhirui; Huang, Huaiqiu.

Afiliação

Gao W; The Department of Dermatology, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Li M; The Department of Dermatology, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Wu R; The Department of Dermatology, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Du W; The Department of Dermatology, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Zhang S; Guangzhou Wangsheng Intelligent Technology Co., Ltd., Guangzhou, China.
Yin S; The Department of Dermatology, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Chen Z; The Department of Dermatology, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Huang H; The Department of Dermatology, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Mycoses ; 64(3): 245-251, 2021 Mar.

Article em En | MEDLINE | ID: mdl-33174310

Assuntos

Automação Laboratorial/instrumentação; Automação Laboratorial/métodos; Aprendizado Profundo; Fungos/citologia; Microscopia/métodos; Pele/microbiologia; Cabelo/microbiologia; Humanos; Processamento de Imagem Assistida por Computador/métodos; Microscopia de Fluorescência; Unhas/microbiologia; Sensibilidade e Especificidade

Palavras-chave

automated microscope; deep learning; fungi; skin

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pele / Automação Laboratorial / Aprendizado Profundo / Fungos / Microscopia Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google