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Synthetic pulmonary perfusion images from 4DCT for functional avoidance using deep learning.
Porter, Evan M; Myziuk, Nicholas K; Quinn, Thomas J; Lozano, Daniela; Peterson, Avery B; Quach, Duyen M; Siddiqui, Zaid A; Guerrero, Thomas M.
Afiliação
  • Porter EM; Department of Medical Physics, Wayne State University, Detroit, MI, United States of America.
  • Myziuk NK; Beaumont Artificial Intelligence Research Laboratory, Beaumont Health, Royal Oak, MI, United States of America.
  • Quinn TJ; Department of Radiation Oncology, UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States of America.
  • Lozano D; Beaumont Artificial Intelligence Research Laboratory, Beaumont Health, Royal Oak, MI, United States of America.
  • Peterson AB; Department of Radiation Oncology, Beaumont Health, Royal Oak, MI, United States of America.
  • Quach DM; Beaumont Artificial Intelligence Research Laboratory, Beaumont Health, Royal Oak, MI, United States of America.
  • Siddiqui ZA; Department of Radiation Oncology, Beaumont Health, Royal Oak, MI, United States of America.
  • Guerrero TM; Beaumont Artificial Intelligence Research Laboratory, Beaumont Health, Royal Oak, MI, United States of America.
Phys Med Biol ; 66(17)2021 08 23.
Article em En | MEDLINE | ID: mdl-34293726
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article