Machine Learning-Driven radiomics on 18 F-FDG PET for glioma diagnosis: a systematic review and meta-analysis.

Abstract

Authors

• Ali Shahriari
  Department of Radiation Oncology, Dana Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
• Sasan Ghazanafar Ahari
  Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
• Ali Mousavi
  Institute of Biomedical Engineering, Department of Pharmacology and Physiology, Faculty of Medicine, University of Montreal, Montreal, QC, H3T 1J4, Canada. houman.savoji@umontreal.ca.
• Mahdie Sadeghi
  Qazvin University of Medical Sciences, Qazvin, Iran.
• Marjan Abbasi
  Shahid Beheshti University of Medical Sciences, Tehran, Iran.
• Mahsa Hosseinpour
  Mazandaran University of Medical Sciences, Sari, Iran.
• Asal Mir
  Department of medicine, Mashhad university of medical sciences, Mashhad, Iran.
• Dorrin Zohouri Zanganeh
  Qazvin University of Medical Sciences, Qazvin, Iran.
• Hossein Gharedaghi
  School of Medicine, Zanjan University of Medical Science, Zanjan, Iran.
• Saba Ezati
  Mazandaran University of Medical Sciences, Sari, Iran.
• Ali Sareminia
  Shiraz University of Medical Sciences, Shiraz, Iran.
• Dina Seyedi
  Musculoskeletal Imaging Research Center (MIRC), Tehran University of Medical Sciences, Tehran, Iran.
• Mahla Shokouhfar
  School of Medicine, Shahid Beheshti University of Medical Sciences, Tehrani, Iran.
• Ali Darzi
  University of Pittsburgh, Pittsburgh, U.S.A.
• Alireza Ghaedamini
  Neurosurgery Department, Kerman University of Medical Sciences, Kerman, Iran. alirezaghaedamini@gmail.com.
• Sara Zamani
  School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
• Farbod Khosravi
  School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
• Mahsa Asadi Anar
  Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Keywords

External Resources