Distribution-based detection of radiographic changes in pneumonia patterns: A COVID-19 case study

Although the classification of chest radiographs has long been an extensively researched topic, interest increased significantly with the onset of the COVID-19 pandemic. Existing results are promising; however, the radiological similarities between COVID-19 and other types of respiratory diseases li...

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Bibliographic Details
Published in:	Heliyon Vol. 10; no. 16; p. e35677
Main Authors:	C. Pereira, Sofia, Rocha, Joana, Campilho, Aurélio, Mendonça, Ana Maria
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 30.08.2024 Elsevier
Subjects:	Anomaly detection Autoencoder case studies chest Coronavirus COVID-19 infection Deep learning Distribution shift image analysis pneumonia public health radiography X-ray Deep learning Coronavirus X-ray Autoencoder Distribution shift Anomaly detection
ISSN:	2405-8440, 2405-8440
Online Access:	Get full text
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