Your browser doesn't support javascript.
loading
An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies.
Li, Jiayun; Speier, William; Ho, King Chung; Sarma, Karthik V; Gertych, Arkadiusz; Knudsen, Beatrice S; Arnold, Corey W.
Afiliação
  • Li J; Department of Bioengineering, University of California, Los Angeles, CA, USA; Computational Integrated Diagnostics, Departments of Radiological Sciences and Pathology and Laboratory Medicine, University of California, Los Angeles, CA, USA.
  • Speier W; Computational Integrated Diagnostics, Departments of Radiological Sciences and Pathology and Laboratory Medicine, University of California, Los Angeles, CA, USA.
  • Ho KC; Department of Bioengineering, University of California, Los Angeles, CA, USA; Computational Integrated Diagnostics, Departments of Radiological Sciences and Pathology and Laboratory Medicine, University of California, Los Angeles, CA, USA.
  • Sarma KV; Department of Bioengineering, University of California, Los Angeles, CA, USA; Computational Integrated Diagnostics, Departments of Radiological Sciences and Pathology and Laboratory Medicine, University of California, Los Angeles, CA, USA.
  • Gertych A; Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Knudsen BS; Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Arnold CW; Department of Bioengineering, University of California, Los Angeles, CA, USA; Computational Integrated Diagnostics, Departments of Radiological Sciences and Pathology and Laboratory Medicine, University of California, Los Angeles, CA, USA. Electronic address: cwarnold@ucla.edu.
Comput Med Imaging Graph ; 69: 125-133, 2018 11.
Article em En | MEDLINE | ID: mdl-30243216

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Próstata / Prostatectomia / Processamento de Imagem Assistida por Computador / Aprendizado de Máquina Supervisionado / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans / Male Idioma: En Revista: Comput Med Imaging Graph Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Próstata / Prostatectomia / Processamento de Imagem Assistida por Computador / Aprendizado de Máquina Supervisionado / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans / Male Idioma: En Revista: Comput Med Imaging Graph Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos