Author Correction: Prediction of Response to Neoadjuvant Chemoradiotherapy by MRI-Based Machine Learning Texture Analysis in Rectal Cancer Patients.

Shayesteh, Sajad P; Alikhassi, Afsaneh; Farhan, Farshid; Ghalehtaki, Reza; Soltanabadi, Masume; Haddad, Peiman; Bitarafan-Rajabi, Ahmad

Shayesteh, Sajad P; Alikhassi, Afsaneh; Farhan, Farshid; Ghalehtaki, Reza; Soltanabadi, Masume; Haddad, Peiman; Bitarafan-Rajabi, Ahmad.

Afiliación

Shayesteh SP; Department of Physiology, Pharmacology and Medical Physics, Faculty of Medicine, Alborz University of Medical Sciences, Karaj, Iran.
Alikhassi A; Department of Radiology, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran.
Farhan F; Radiation Oncology Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
Ghalehtaki R; Radiation Oncology Department, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
Soltanabadi M; Radiation Oncology Department, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran.
Haddad P; Department of Nuclear Medicine, Faculty of Medicine, Shahrekord University of Medical Sciences, Shahrekord, Chaharmahal and Bakhtiari, Iran.
Bitarafan-Rajabi A; Radiation Oncology Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran. haddad@tums.ac.ir.

J Gastrointest Cancer ; 51(2): 610, 2020 06.

Article en En | MEDLINE | ID: mdl-31828726

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Gastrointest Cancer Año: 2020 Tipo del documento: Article País de afiliación: Irán

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