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Endorectal ultrasound radiomics in locally advanced rectal cancer patients: despeckling and radiotherapy response prediction using machine learning.
Abbaspour, Samira; Abdollahi, Hamid; Arabalibeik, Hossein; Barahman, Maedeh; Arefpour, Amir Mohammad; Fadavi, Pedram; Ay, Mohammadreza; Mahdavi, Seied Rabi.
Afiliação
  • Abbaspour S; Medical Physics and Biomedical Engineering Department, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
  • Abdollahi H; Research Center for Molecular and Cellular Imaging, Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences, Tehran, Iran.
  • Arabalibeik H; Department of Radiology Technology, Faculty of Allied Medical Sciences, Kerman University of Medical Sciences, Kerman, Iran.
  • Barahman M; Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, Canada.
  • Arefpour AM; Research Center for Science and Technology in Medicine (RCSTM), Tehran University of Medical Sciences, Tehran, Iran.
  • Fadavi P; Department of Radiation Oncology, Firoozgar Hospital, Firoozgar Clinical Research Development Center (FCRDC), Iran University of Medical Sciences, Tehran, Iran.
  • Ay M; Department of Radiation Oncology, Firoozgar Hospital, Firoozgar Clinical Research Development Center (FCRDC), Iran University of Medical Sciences, Tehran, Iran.
  • Mahdavi SR; Department of Radiation Oncology, Iran University of Medical Sciences, Tehran, Iran.
Abdom Radiol (NY) ; 47(11): 3645-3659, 2022 11.
Article em En | MEDLINE | ID: mdl-35951085
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Retais / Imageamento por Ressonância Magnética Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Abdom Radiol (NY) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Irã País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Retais / Imageamento por Ressonância Magnética Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Abdom Radiol (NY) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Irã País de publicação: Estados Unidos