Severity Assessment of COVID-19 Using a CT-Based Radiomics Model

• Main Authors: Zhigao Xu (Author), Lili Zhao (Author), Guoqiang Yang (Author), Ying Ren (Author), Jinlong Wu (Author), Yuwei Xia (Author), Xuhong Yang (Author), Milan Cao (Author), Guojiang Zhang (Author), Taisong Peng (Author), Jiafeng Zhao (Author), Hui Yang (Author), Jinfeng Hu (Author), Jiangfeng Du (Author)
• Format: Book
• Published: Hindawi Limited, 2021-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

The coronavirus disease of 2019 (COVID-19) has evolved into a worldwide pandemic. Although CT is sensitive in detecting lesions and assessing their severity, these works mainly depend on radiologists' subjective judgment, which is inefficient in case of a large-scale outbreak. This work focuses...