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Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer.
Abdollahi, Hamid; Mofid, Bahram; Shiri, Isaac; Razzaghdoust, Abolfazl; Saadipoor, Afshin; Mahdavi, Arash; Galandooz, Hassan Maleki; Mahdavi, Seied Rabi.
  • Abdollahi H; Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Mofid B; Shohada-e-Tajrish Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Shiri I; Biomedical and Health Informatics, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
  • Razzaghdoust A; Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran.
  • Saadipoor A; Urology and Nephrology Research Center, Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mahdavi A; Shohada-e-Tajrish Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Galandooz HM; Department of Radiology, Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mahdavi SR; Faculty of Computer Science and Engineering, Image Processing and Distributed System Lab, Shahid Beheshti University, Tehran, Iran.
Radiol Med ; 124(6): 555-567, 2019 Jun.
Article en En | MEDLINE | ID: mdl-30607868
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Radioterapia de Intensidad Modulada / Aprendizaje Automático Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Humans / Male / Middle aged Idioma: En Año: 2019 Tipo del documento: Article
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Radioterapia de Intensidad Modulada / Aprendizaje Automático Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Humans / Male / Middle aged Idioma: En Año: 2019 Tipo del documento: Article