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Quantitative evaluation of CT scan images to determinate the prognosis of COVID-19 patient using deep learning.
Joni, Saeid Sadeghi; Gerami, Reza; Pashaei, Fakhereh; Ebrahiminik, Hojat; Karimi, Mahmood.
Affiliation
  • Joni SS; Department of Radiology, Faculty of medicine, Aja University of Medical Sciences, Tehran. saeedsadeghi69@gmail.com.
  • Gerami R; Department of Radiology, Faculty of medicine, Aja University of Medical Sciences, Tehran. rezagerami64@gmail.com.
  • Pashaei F; Radiation Sciences Research Center (RSRC), Aja University of Medical Sciences, Tehran. fakhereh.pashaee@yahoo.com.
  • Ebrahiminik H; Department of Interventional Radiology and Radiation Sciences Research Center, Aja University of Medical Sciences, Tehran. dr_ebrahiminik@yahoo.com.
  • Karimi M; Department of Internal Medicine, Faculty of Medicine, AJA University of Medical Sciences, Tehran. dr.karimi.ma@gmail.com.
Eur J Transl Myol ; 33(3)2023 Jul 25.
Article in En | MEDLINE | ID: mdl-37491956
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Eur J Transl Myol Year: 2023 Document type: Article Country of publication: Italy
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Eur J Transl Myol Year: 2023 Document type: Article Country of publication: Italy