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About Butt2020 Article DeepLearningSystemToScreenCoro
This document summarizes a study that used a deep learning system to screen for coronavirus disease 2019 (COVID-19) using chest CT scans. The study compared multiple convolutional neural network models to classify CT scans showing COVID-19, influenza viral pneumonia, or no infection. The deep learning models achieved an area under the curve of 0.996 for detecting COVID-19 cases, with a sensitivity of 98.2% and specificity of 92.2%. The study aimed to develop an accurate screening tool for COVID-19 using chest CT scans and deep learning since CT scans may detect COVID-19 with higher sensitivity than PCR testing, especially early in infection.
Detailed Information
| Author: | ['akhilesh akhil'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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