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Segmenting nailfold capillaries using an improved U-net network.
Liu, Shupeng; Li, Yuemei; Zhou, Jingjing; Hu, Junwei; Chen, Na; Shang, Yana; Chen, Zhenyi; Li, Taihao.
Afiliação
  • Liu S; Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, Institute of Biomedical Engineering, School of Communication and Informa
  • Li Y; Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, Institute of Biomedical Engineering, School of Communication and Informa
  • Zhou J; School of Life Sciences, Shanghai University, 333 Nanchen Road, Shanghai 200444, China.
  • Hu J; Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, Institute of Biomedical Engineering, School of Communication and Informa
  • Chen N; Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, Institute of Biomedical Engineering, School of Communication and Informa
  • Shang Y; Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, Institute of Biomedical Engineering, School of Communication and Informa
  • Chen Z; Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, Institute of Biomedical Engineering, School of Communication and Informa
  • Li T; Zhejiang Lab, Institute of Artificial Intelligence, Hangzhou 401318, China. Electronic address: lith@zhejianglab.com.
Microvasc Res ; 130: 104011, 2020 07.
Article em En | MEDLINE | ID: mdl-32371104
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Capilares / Interpretação de Imagem Assistida por Computador / Redes Neurais de Computação / Angioscopia Microscópica / Unhas Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Capilares / Interpretação de Imagem Assistida por Computador / Redes Neurais de Computação / Angioscopia Microscópica / Unhas Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article