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Automated rare sperm identification from low-magnification microscopy images of dissociated microsurgical testicular sperm extraction samples using deep learning.
Lee, Ryan; Witherspoon, Luke; Robinson, Meghan; Lee, Jeong Hyun; Duffy, Simon P; Flannigan, Ryan; Ma, Hongshen.
Afiliação
  • Lee R; Department of Mechanical Engineering, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Blood Research, University of British Columbia, Vancouver, British Columbia, Canada; Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Can
  • Witherspoon L; Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada; Vancouver Prostate Centre, Vancouver General Hospital, Vancouver, British Columbia, Canada; Department of Urology, The Ottawa Hospital, Ottawa, Ontario, Canada.
  • Robinson M; Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada; Vancouver Prostate Centre, Vancouver General Hospital, Vancouver, British Columbia, Canada.
  • Lee JH; Department of Mechanical Engineering, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Blood Research, University of British Columbia, Vancouver, British Columbia, Canada.
  • Duffy SP; Department of Mechanical Engineering, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Blood Research, University of British Columbia, Vancouver, British Columbia, Canada.
  • Flannigan R; Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada; Vancouver Prostate Centre, Vancouver General Hospital, Vancouver, British Columbia, Canada; Department of Urology, Weill Cornell Medicine, New York, New York. Electronic address: ryan.flannigan@ubc.
  • Ma H; Department of Mechanical Engineering, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Blood Research, University of British Columbia, Vancouver, British Columbia, Canada; Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Can
Fertil Steril ; 118(1): 90-99, 2022 07.
Article em En | MEDLINE | ID: mdl-35562203
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oligospermia / Azoospermia / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans / Male Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Oligospermia / Azoospermia / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans / Male Idioma: En Ano de publicação: 2022 Tipo de documento: Article