COVID-19 detection in CT images with deep learning: A voting-based scheme and cross-datasets analysis
Early detection and diagnosis are critical factors to control the COVID-19 spreading. A number of deep learning-based methodologies have been recently proposed for COVID-19 screening in CT scans as a tool to automate and help with the diagnosis. These approaches, however, suffer from at least one of...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2020-01-01
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Series: | Informatics in Medicine Unlocked |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914820305773 |