COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans

COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans

The newly discovered Coronavirus Disease 2019 (COVID-19) has been globally spreading and causing hundreds of thousands of deaths around the world as of its first emergence in late 2019. The rapid outbreak of this disease has overwhelmed health care infrastructures and arises the need to allocate med...

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Bibliographic Details
Main Authors: Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Faranak Babaki Fard, Kaveh Samimi, S. Farokh Atashzar, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Artificial Intelligence
Subjects:
capsule networks
COVID-19
computed tomography scans
fully automated classification
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2021.598932/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2021.598932/full

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