Work

Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics

Year: 2022

Type: article

Source: Computers in Biology and Medicine

DOI: 10.1016/j.compbiomed.2022.106165

Authors: Pegah Moradi Khaniabadi, Yassine Bouchareb, Humoud Al-Dhuhli, Isaac Shiri, Faiza Al-Kindi, Bita Moradi Khaniabadi, Habib Zaidi, Arman Rahmim

Institutions: Sultan Qaboos University, University Hospital of Geneva, Royal Hospital, Isfahan University of Medical Sciences, University of Geneva, University Medical Center Groningen, University of Groningen, University of Southern Denmark, BC Cancer Agency, University of British Columbia

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: The Research Council

Award: G1145143092

OpenAlex ID: W4302009409

FWCI: 4.537

Cites: 61

Cited by: 39

Related to: 10