Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET

Over the past years, pseudo-healthy reconstruction for unsupervised anomaly detection has gained in popularity. This approach has the great advantage of not requiring tedious pixel-wise data annotation and offers possibility to generalize to any kind of anomalies, including that corresponding to rar...

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Bibliographic Details

Published in:	arXiv.org
Main Authors:	Hassanaly, Ravi, Brianceau, Camille, Solal, Maëlys, Colliot, Olivier, Burgos, Ninon
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 29.01.2024
Subjects:	Alzheimer's disease Annotations Anomalies Brain Image reconstruction Medical imaging Positron emission
ISSN:	2331-8422
Online Access:	Get full text
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