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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Vydané v:	Computerized medical imaging and graphics Ročník 113; s. 102343
Hlavní autori:	López Diez, Paula, Sundgaard, Josefine Vilsbøll, Margeta, Jan, Diab, Khassan, Patou, François, Paulsen, Rasmus R.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Ltd 01.04.2024
Predmet:	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
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