Your browser doesn't support javascript.
loading
The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research.
Pati, Sarthak; Baid, Ujjwal; Edwards, Brandon; Sheller, Micah J; Foley, Patrick; Anthony Reina, G; Thakur, Siddhesh; Sako, Chiharu; Bilello, Michel; Davatzikos, Christos; Martin, Jason; Shah, Prashant; Menze, Bjoern; Bakas, Spyridon.
Afiliação
  • Pati S; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, United States of America.
  • Baid U; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
  • Edwards B; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
  • Sheller MJ; Department of Informatics, Technical University of Munich, Munich, Germany.
  • Foley P; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, United States of America.
  • Anthony Reina G; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
  • Thakur S; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
  • Sako C; Intel Corporation, Santa Clara, CA, United States of America.
  • Bilello M; Intel Corporation, Santa Clara, CA, United States of America.
  • Davatzikos C; Intel Corporation, Santa Clara, CA, United States of America.
  • Martin J; Intel Corporation, Santa Clara, CA, United States of America.
  • Shah P; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, United States of America.
  • Menze B; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
  • Bakas S; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Phys Med Biol ; 67(20)2022 10 12.
Article em En | MEDLINE | ID: mdl-36137534
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Phys Med Biol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Phys Med Biol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos