Hypergraph Learning for Identification of COVID-19 with CT Imaging

no code implementations • 7 May 2020 • Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Shengrui Li, Ying WEI, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen

The main challenge in early screening is how to model the confusing cases in the COVID-19 and CAP groups, with very similar clinical manifestations and imaging features.

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

no code implementations • 7 May 2020 • Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying WEI, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen

We evaluated our proposed AFS-DF on COVID-19 dataset with 1495 patients of COVID-19 and 1027 patients of community acquired pneumonia (CAP).

Classification Computed Tomography (CT) +3

Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning

no code implementations • 6 May 2020 • Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen

In this study, we propose to conduct the diagnosis of COVID-19 with a series of features extracted from CT images.

Computed Tomography (CT) Representation Learning

Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification

no code implementations • 22 Mar 2020 • Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying WEI, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, Dinggang Shen

The worldwide spread of coronavirus disease (COVID-19) has become a threatening risk for global public health.

Decision Making General Classification +1