作者
Ramsey M Wehbe, Jiayue Sheng, Shinjan Dutta, Siyuan Chai, Amil Dravid, Semih Barutcu, Yunan Wu, Donald R Cantrell, Nicholas Xiao, Bradley D Allen, Gregory A MacNealy, Hatice Savas, Rishi Agrawal, Nishant Parekh, Aggelos K Katsaggelos
发表日期
2021/4
期刊
Radiology
卷号
299
期号
1
页码范围
E167-E176
出版商
Radiological Society of North America
简介
Background
There are characteristic findings of coronavirus disease 2019 (COVID-19) on chest images. An artificial intelligence (AI) algorithm to detect COVID-19 on chest radiographs might be useful for triage or infection control within a hospital setting, but prior reports have been limited by small data sets, poor data quality, or both.
Purpose
To present DeepCOVID-XR, a deep learning AI algorithm to detect COVID-19 on chest radiographs, that was trained and tested on a large clinical data set.
Materials and Methods
DeepCOVID-XR is an ensemble of convolutional neural networks developed to detect COVID-19 on frontal chest radiographs, with reverse-transcription …
学术搜索中的文章
RM Wehbe, J Sheng, S Dutta, S Chai, A Dravid… - Radiology, 2021