Anomaly Detection in Medical Image Analysis
Alberto Taboada-Crispí, Hichem Sahli, Denis Hernández-Pacheco, Alexander Falcón-Ruíz · IGI Global eBooks · 2009
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.