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Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches.
Zhou, M; Scott, J; Chaudhury, B; Hall, L; Goldgof, D; Yeom, K W; Iv, M; Ou, Y; Kalpathy-Cramer, J; Napel, S; Gillies, R; Gevaert, O; Gatenby, R.
Afiliação
  • Zhou M; From the Stanford Center for Biomedical Informatic Research (M.Z., O.G.).
  • Scott J; Department of Radiology (J.S., B.C., S.N., R. Gillies, R. Gatenby), Moffitt Cancer Research Center, Tampa, Florida.
  • Chaudhury B; Department of Radiology (J.S., B.C., S.N., R. Gillies, R. Gatenby), Moffitt Cancer Research Center, Tampa, Florida.
  • Hall L; Department of Computer Science and Engineering (L.H., D.G.), University of South Florida, Tampa, Florida.
  • Goldgof D; Department of Computer Science and Engineering (L.H., D.G.), University of South Florida, Tampa, Florida.
  • Yeom KW; Department of Radiology (K.W.Y., M.I.), Stanford University, Stanford, California.
  • Iv M; Department of Radiology (K.W.Y., M.I.), Stanford University, Stanford, California.
  • Ou Y; Department of Radiology (Y.O., J.K.-C.), Massachusetts General Hospital, Boston, Massachusetts.
  • Kalpathy-Cramer J; Department of Radiology (Y.O., J.K.-C.), Massachusetts General Hospital, Boston, Massachusetts.
  • Napel S; Department of Radiology (J.S., B.C., S.N., R. Gillies, R. Gatenby), Moffitt Cancer Research Center, Tampa, Florida.
  • Gillies R; Department of Radiology (J.S., B.C., S.N., R. Gillies, R. Gatenby), Moffitt Cancer Research Center, Tampa, Florida.
  • Gevaert O; From the Stanford Center for Biomedical Informatic Research (M.Z., O.G.) Olivier.gevaert@stanford.edu Robert.gatenby@moffitt.org.
  • Gatenby R; Department of Radiology (J.S., B.C., S.N., R. Gillies, R. Gatenby), Moffitt Cancer Research Center, Tampa, Florida Olivier.gevaert@stanford.edu Robert.gatenby@moffitt.org.
AJNR Am J Neuroradiol ; 39(2): 208-216, 2018 02.
Article em En | MEDLINE | ID: mdl-28982791
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Interpretação de Imagem Assistida por Computador / Neuroimagem / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: AJNR Am J Neuroradiol Ano de publicação: 2018 Tipo de documento: Article
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Interpretação de Imagem Assistida por Computador / Neuroimagem / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Humans Idioma: En Revista: AJNR Am J Neuroradiol Ano de publicação: 2018 Tipo de documento: Article