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Imaging sub-diffuse optical properties of cancerous and normal skin tissue using machine learning-aided spatial frequency domain imaging.
Stier, Andrew C; Goth, Will; Hurley, Aislinn; Brown, Treshayla; Feng, Xu; Zhang, Yao; Lopes, Fabiana C P S; Sebastian, Katherine R; Ren, Pengyu; Fox, Matthew C; Reichenberg, Jason S; Markey, Mia K; Tunnell, James W.
Afiliação
  • Stier AC; The University of Texas at Austin, Department of Electrical and Computer Engineering, Austin, Texas, United States.
  • Goth W; The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States.
  • Hurley A; The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States.
  • Brown T; The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States.
  • Feng X; The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States.
  • Zhang Y; The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States.
  • Lopes FCPS; The University of Texas at Austin, Dell Medical School, Department of Internal Medicine, Austin, Tex, United States.
  • Sebastian KR; The University of Texas at Austin, Dell Medical School, Department of Internal Medicine, Austin, Tex, United States.
  • Ren P; The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States.
  • Fox MC; The University of Texas at Austin, Dell Medical School, Department of Internal Medicine, Austin, Tex, United States.
  • Reichenberg JS; The University of Texas at Austin, Dell Medical School, Department of Internal Medicine, Austin, Tex, United States.
  • Markey MK; The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States.
  • Tunnell JW; The University of Texas MD Anderson Cancer Center, Imaging Physics Residency Program, Houston, Texas, United States.
J Biomed Opt ; 26(9)2021 09.
Article em En | MEDLINE | ID: mdl-34558235
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Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: Imagem Óptica / Neoplasias Limite: Humans Idioma: En Revista: J Biomed Opt Assunto da revista: ENGENHARIA BIOMEDICA / OFTALMOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Outros_tipos Base de dados: MEDLINE Assunto principal: Imagem Óptica / Neoplasias Limite: Humans Idioma: En Revista: J Biomed Opt Assunto da revista: ENGENHARIA BIOMEDICA / OFTALMOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos