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...

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Bibliographic Details

Published in:	Computerized medical imaging and graphics Vol. 113; p. 102343
Main Authors:	López Diez, Paula, Sundgaard, Josefine Vilsbøll, Margeta, Jan, Diab, Khassan, Patou, François, Paulsen, Rasmus R.
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.04.2024
Subjects:	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 Access:	Get full text
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