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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Heliyon Jg. 10; H. 16; S. e35677
Hauptverfasser:	C. Pereira, Sofia, Rocha, Joana, Campilho, Aurélio, Mendonça, Ana Maria
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Elsevier Ltd 30.08.2024 Elsevier
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!