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Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset.
Ha, Richard; Chin, Christine; Karcich, Jenika; Liu, Michael Z; Chang, Peter; Mutasa, Simukayi; Pascual Van Sant, Eduardo; Wynn, Ralph T; Connolly, Eileen; Jambawalikar, Sachin.
Afiliação
  • Ha R; Department of Radiology, Columbia University Irving Medical Center, 622 West 168th Street, PB-1-301, New York, NY, 10032, USA. rh2616@columbia.edu.
  • Chin C; Division of Radiation Oncology, Columbia University Medical Center, Presbyterian Hospital Building, 622 West 168th Street, Level B, New York, NY, 10032, USA.
  • Karcich J; Department of Radiology, Columbia University Irving Medical Center, 622 West 168th Street, PB-1-301, New York, NY, 10032, USA.
  • Liu MZ; Department of Medical Physics, Columbia University Medical Center, 177 Ft. Washington Ave., Milstein Bldg Room 3-124B, New York, NY, 10032-3784, USA.
  • Chang P; Department of Radiology, UC San Francisco Medical Center, 505 Parnassus Ave, San Francisco, CA, 94143, USA.
  • Mutasa S; Department of Radiology, Columbia University Irving Medical Center, 622 West 168th Street, PB-1-301, New York, NY, 10032, USA.
  • Pascual Van Sant E; Department of Radiology, Columbia University Irving Medical Center, 622 West 168th Street, PB-1-301, New York, NY, 10032, USA.
  • Wynn RT; Department of Radiology, Columbia University Irving Medical Center, 622 West 168th Street, PB-1-301, New York, NY, 10032, USA.
  • Connolly E; Division of Radiation Oncology, Columbia University Medical Center, Presbyterian Hospital Building, 622 West 168th Street, Level B, New York, NY, 10032, USA.
  • Jambawalikar S; Department of Medical Physics, Columbia University Medical Center, 177 Ft. Washington Ave., Milstein Bldg Room 3-124B, New York, NY, 10032-3784, USA.
J Digit Imaging ; 32(5): 693-701, 2019 10.
Article em En | MEDLINE | ID: mdl-30361936
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article