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

Zhanhao Mo
Zhanhao Mo
Fuhua Yan
Fuhua Yan
Liming Xia
Liming Xia
Fei Shan
Fei Shan
Wanchun Gao
Wanchun Gao
Wei Shao
Wei Shao
Huan Yuan
Huan Yuan
Huiting Jiang
Huiting Jiang

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, pp. 2798-2805, 2020.

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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 clinicians. In this paper, we propose an Adaptiv...More

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