A novel deep learning-based quantification of serial chest computed tomography in Coronavirus Disease 2019 (COVID-19)

A novel deep learning-based quantification of serial chest computed tomography in Coronavirus Disease 2019 (COVID-19)

Abstract This study aims to explore and compare a novel deep learning-based quantification with the conventional semi-quantitative computed tomography (CT) scoring for the serial chest CT scans of COVID-19. 95 patients with confirmed COVID-19 and a total of 465 serial chest CT scans were involved, i...

Full description

Bibliographic Details
Main Authors: Feng Pan, Lin Li, Bo Liu, Tianhe Ye, Lingli Li, Dehan Liu, Zezhen Ding, Guangfeng Chen, Bo Liang, Lian Yang, Chuansheng Zheng
Format: Article
Language:English
Published: Nature Portfolio 2021-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-80261-w

Internet

https://doi.org/10.1038/s41598-020-80261-w

Similar Items