Non-invasive differential diagnosis of dental periapical lesions in cone-beam CT

Abstract

This paper proposes a novel application of computer-aided diagnosis to a clinically significant dental problem: non-invasive differential diagnosis of periapical lesions using cone-beam computed tomography (CBCT). The proposed semi-automatic solution combines graph-theoretic random walks segmentation and machine learning-based LDA and AdaBoost classifiers… (More)
DOI: 10.1109/ISBI.2009.5193110

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