May, 2020
COVID-Net S: 通过深度神经网络的训练和验证，评估SARS-CoV-2肺部疾病严重程度的地理范围和密度范围的胸部X射线计算机辅助评估
Towards computer-aided severity assessment: training and validation of
deep neural networks for geographic extent and opacity extent scoring of
chest X-rays for SARS-CoV-2 lung disease severity
TL;DR这项研究表明，在SARS-CoV-2患者的胸部X光片中使用COVID-Net S算法可以显著提高肺部病变面积和密度的计算准确性，从而更好地对COVID-19进行评估和治疗计划。