Two-Step Machine Learning to Diagnose and Predict Involvement of Lungs in Covid-19 and Pneumonia Using Ct Radiomics

Two-Step Machine Learning to Diagnose and Predict Involvement of Lungs in Covid-19 and Pneumonia Using Ct Radiomics Publisher Pubmed

Moradi Khaniabadi P¹ ; Bouchareb Y¹ ; Aldhuhli H¹ ; Shiri I² ; Alkindi F³ ; Moradi Khaniabadi B⁴ ; Zaidi H^{2, 5, 6, 7} ; Rahmim A^{8, 9}

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1. Department of Radiology and Molecular Imaging, College of Medicine and Health Sciences, Sultan Qaboos University, PO. Box 35, Al Khoud, Muscat, PC123, Oman
2. Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211 Geneva 4, Switzerland
3. Department of Radiology, Royal Hospital, Muscat, Oman
4. Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
5. Geneva University Neurocenter, Geneva University, Geneva, Switzerland
6. Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
7. Department of Nuclear Medicine, University of Southern Denmark, Odense, Denmark
8. Departments of Radiology and Physics, University of British Columbia, Vancouver, BC, Canada
9. Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, BC, Canada

Source: Computers in Biology and Medicine Published:2022

Abstract

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Style	Citing Format
MLA	Moradi Khaniabadi P, et al.. "Two-Step Machine Learning to Diagnose and Predict Involvement of Lungs in Covid-19 and Pneumonia Using Ct Radiomics." Computers in Biology and Medicine, vol. 150, no. , 2022, pp. -.
APA	Moradi Khaniabadi P, Bouchareb Y, Aldhuhli H, Shiri I, Alkindi F, Moradi Khaniabadi B, Zaidi H, Rahmim A (2022). Two-Step Machine Learning to Diagnose and Predict Involvement of Lungs in Covid-19 and Pneumonia Using Ct Radiomics. Computers in Biology and Medicine, 150(), -.
Chicago	Moradi Khaniabadi P, Bouchareb Y, Aldhuhli H, Shiri I, Alkindi F, Moradi Khaniabadi B, Zaidi H, Rahmim A. "Two-Step Machine Learning to Diagnose and Predict Involvement of Lungs in Covid-19 and Pneumonia Using Ct Radiomics." Computers in Biology and Medicine 150, no. (2022): -.
Harvard	Moradi Khaniabadi P et al. (2022) 'Two-Step Machine Learning to Diagnose and Predict Involvement of Lungs in Covid-19 and Pneumonia Using Ct Radiomics', Computers in Biology and Medicine, 150(), pp. -.
Vancouver	Moradi Khaniabadi P, Bouchareb Y, Aldhuhli H, Shiri I, Alkindi F, Moradi Khaniabadi B, et al.. Two-Step Machine Learning to Diagnose and Predict Involvement of Lungs in Covid-19 and Pneumonia Using Ct Radiomics. Computers in Biology and Medicine. 2022;150():-.
BibTex	@article{ author = {Moradi Khaniabadi P and Bouchareb Y and Aldhuhli H and Shiri I and Alkindi F and Moradi Khaniabadi B and Zaidi H and Rahmim A}, title = {Two-Step Machine Learning to Diagnose and Predict Involvement of Lungs in Covid-19 and Pneumonia Using Ct Radiomics}, journal = {Computers in Biology and Medicine}, volume = {150}, number = {}, pages = {-}, year = {2022} }
RIS	TY - JOUR AU - Moradi Khaniabadi P AU - Bouchareb Y AU - Aldhuhli H AU - Shiri I AU - Alkindi F AU - Moradi Khaniabadi B AU - Zaidi H AU - Rahmim A TI - Two-Step Machine Learning to Diagnose and Predict Involvement of Lungs in Covid-19 and Pneumonia Using Ct Radiomics JO - Computers in Biology and Medicine VL - 150 IS - SP - EP - PY - 2022 ER -

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