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Automatic detection and segmentation of multiple brain metastases on magnetic resonance image using asymmetric UNet architecture.
Cao, Yufeng; Vassantachart, April; Ye, Jason C; Yu, Cheng; Ruan, Dan; Sheng, Ke; Lao, Yi; Shen, Zhilei Liu; Balik, Salim; Bian, Shelly; Zada, Gabriel; Shiu, Almon; Chang, Eric L; Yang, Wensha.
Afiliação
  • Cao Y; Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
  • Vassantachart A; Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
  • Ye JC; Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
  • Yu C; Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
  • Ruan D; Department of Radiation Oncology, University of California Los Angeles, Los Angeles, CA, United States of America.
  • Sheng K; Department of Radiation Oncology, University of California Los Angeles, Los Angeles, CA, United States of America.
  • Lao Y; Department of Radiation Oncology, University of California Los Angeles, Los Angeles, CA, United States of America.
  • Shen ZL; Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
  • Balik S; Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
  • Bian S; Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
  • Zada G; Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
  • Shiu A; Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
  • Chang EL; Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
  • Yang W; Department of Radiation Oncology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
Phys Med Biol ; 66(1): 015003, 2021 01 13.
Article em En | MEDLINE | ID: mdl-33186927
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Imageamento por Ressonância Magnética / Bases de Dados Factuais / Redes Neurais de Computação Tipo de estudo: Diagnostic_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: Neoplasias Encefálicas / Imageamento por Ressonância Magnética / Bases de Dados Factuais / Redes Neurais de Computação Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article