Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images

no code implementations • 9 Dec 2021 • Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang

The multi-domain shift problem for the multi-center and multi-scanner studies is therefore nontrivial that is also crucial for a dependable recognition and critical for reproducible and objective diagnosis and prognosis.

Computed Tomography (CT) Weakly-supervised Learning

Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images

no code implementations • 14 Apr 2020 • Shaoping Hu, Yuan Gao, Zhangming Niu, Yinghui Jiang, Lao Li, Xianglu Xiao, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Hui Ye, Guang Yang

An outbreak of a novel coronavirus disease (i. e., COVID-19) has been recorded in Wuhan, China since late December 2019, which subsequently became pandemic around the world.

General Classification Respiratory Failure