Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images

Detection of abnormalities within the inner ear is a challenging task even for experienced clinicians. In this study, we propose an automated method for automatic abnormality detection to provide support for the diagnosis and clinical management of various otological disorders. We propose a framewor...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computerized medical imaging and graphics Jg. 113; S. 102343
Hauptverfasser:	López Diez, Paula, Sundgaard, Josefine Vilsbøll, Margeta, Jan, Diab, Khassan, Patou, François, Paulsen, Rasmus R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.04.2024
Schlagworte:	Anomaly detection Cochlear implant Computed tomography Congenital malformation Deep reinforcement learning Internal Medicine Other Cochlear implant Deep reinforcement learning Computed tomography Congenital malformation Anomaly detection
ISSN:	0895-6111, 1879-0771, 1879-0771
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!