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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.
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  • 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 en En | MEDLINE | ID: mdl-34293726
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Neoplasias Pulmonares Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Phys Med Biol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
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Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Neoplasias Pulmonares Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Phys Med Biol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos