Author: Xuehai He; Xingyi Yang; Shanghang Zhang; Jinyu Zhao; Yichen Zhang; Eric Xing; Pengtao Xie
Title: Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans Document date: 2020_4_17
ID: l3f469ht_46
Snippet: To demonstrate the efficacy of our proposed approach and investigate the effects of transfer learning and self-supervised learning, we extensively evaluate the randomly initialized networks, ImageNet transferred networks, and our proposed Self-Trans networks. In the following subsections, we will introduce the datasets, experimental settings, and results for these three series of approaches. Please note that the ablation study is included in the .....
Document: To demonstrate the efficacy of our proposed approach and investigate the effects of transfer learning and self-supervised learning, we extensively evaluate the randomly initialized networks, ImageNet transferred networks, and our proposed Self-Trans networks. In the following subsections, we will introduce the datasets, experimental settings, and results for these three series of approaches. Please note that the ablation study is included in the Results subsection for each series of approaches.
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