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A Containerized Software System for Generation, Management, and Exploration of Features from Whole Slide Tissue Images.
Saltz, Joel; Sharma, Ashish; Iyer, Ganesh; Bremer, Erich; Wang, Feiqiao; Jasniewski, Alina; DiPrima, Tammy; Almeida, Jonas S; Gao, Yi; Zhao, Tianhao; Saltz, Mary; Kurc, Tahsin.
Afiliação
  • Saltz J; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York. joel.saltz@stonybrookmedicine.edu.
  • Sharma A; Department of Biomedical Informatics, Emory University, Atlanta, Georgia.
  • Iyer G; Department of Biomedical Informatics, Emory University, Atlanta, Georgia.
  • Bremer E; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.
  • Wang F; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.
  • Jasniewski A; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.
  • DiPrima T; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.
  • Almeida JS; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.
  • Gao Y; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.
  • Zhao T; Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York.
  • Saltz M; Department of Pathology, Stony Brook University, Stony Brook, New York.
  • Kurc T; Department of Radiology, Stony Brook University, Stony Brook, New York.
Cancer Res ; 77(21): e79-e82, 2017 11 01.
Article em En | MEDLINE | ID: mdl-29092946
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Interpretação de Imagem Assistida por Computador / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Interpretação de Imagem Assistida por Computador / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article