Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT

Sun, Liang; Mo, Zhanhao; Yan, Fuhua; Xia, Liming; Shan, Fei; Ding, Zhongxiang; Song, Bin; Gao, Wanchun; Shao, Wei; Shi, Feng; Yuan, Huan; Jiang, Huiting; Wu, Dijia; Wei, Ying; Gao, Yaozong; Sui, He; Zhang, Daoqiang; Shen, Dinggang

doi:10.1109/jbhi.2020.3019505

Public

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT

Published in IEEE Journal of Biomedical and Health Informatics • Aug 26, 2020

Authors:

Liang Sun

Zhanhao Mo

Fuhua Yan

Abstract

Chest computed tomography (CT) becomes an effective tool to assist the diagnosis of coronavirus disease-19 (COVID-19). Due to the outbreak of COVID-19 worldwide, using the computed-aided diagnosis technique for COVID-19 classification based on CT images could largely alleviate the burden of clinicia...

Subject

Artificial intelligence

Leverage (statistics)

Coronavirus disease 2019 (COVID-19)

Research Assistant

AI chat, annotations, notes & similar papers

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!