Machine learning-based CT radiomics model distinguishes COVID-19 from non-COVID-19 pneumonia

Machine learning-based CT radiomics model distinguishes COVID-19 from non-COVID-19 pneumonia

Abstract Background To develop a machine learning-based CT radiomics model is critical for the accurate diagnosis of the rapid spreading coronavirus disease 2019 (COVID-19). Methods In this retrospective study, a total of 326 chest CT exams from 134 patients (63 confirmed COVID-19 patients and 71 no...

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Bibliographic Details
Main Authors: Hui Juan Chen, Li Mao, Yang Chen, Li Yuan, Fei Wang, Xiuli Li, Qinlei Cai, Jie Qiu, Feng Chen
Format: Article
Language:English
Published: BMC 2021-09-01
Series:BMC Infectious Diseases
Subjects:
Machine learning
Radiomics
Coronavirus Disease 2019 (COVID-19)
Non-COVID-19 pneumonia
Online Access:https://doi.org/10.1186/s12879-021-06614-6

Internet

https://doi.org/10.1186/s12879-021-06614-6

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