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Anomaly Detection in Medical Image Analysis
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Author(s): Alberto Taboada-Crispi (Universidad Central de Las Villas, Cuba), Hichem Sahli (Universiteit Brussel, Belgium), Denis Hernandez-Pacheco (Universidad Central de Las Villas, Cuba)and Alexander Falcon-Ruiz (Universidad Central de Las Villas, Cuba)
Copyright: 2009
Pages: 21
Source title:
Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications
Source Author(s)/Editor(s): Themis P. Exarchos (University of Ioannina, Greece ), Athanasios Papadopoulos (University of Ioannina, Greece )and Dimitrios I. Fotiadis (University of Ioannina, Greece )
DOI: 10.4018/978-1-60566-314-2.ch027
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Abstract
Various approaches have been taken to detect anomalies, with certain particularities in the medical image scenario, linked to other terms: content-based image retrieval, pattern recognition, classification, segmentation, outlier detection, image mining, as well as computer-assisted diagnosis, and computeraided surgery. This chapter presents, a review of anomaly detection (AD) techniques and assessment methodologies, which have been applied to medical images, emphasizing their peculiarities, limitations and future perspectives. Moreover, a contribution to the field of AD in brain computed tomography images is also given, illustrated and assessed.
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