@article{2986247,
    title = "TND: A thyroid nodule detection system for analysis of ultrasound images and videos",
    author = "Keramidas, E.G. and Maroulis, D. and Iakovidis, D.K.",
    journal = "Journal of Medical Systems",
    year = "2012",
    volume = "36",
    number = "3",
    pages = "1271-1281",
    issn = "0148-5598, 1573-689X",
    doi = "10.1007/s10916-010-9588-7",
    keywords = "algorithm;  article;  clinical evaluation;  computer assisted diagnosis;  diagnostic accuracy;  human;  image analysis;  major clinical study;  radiologist;  thyroid gland;  thyroid nodule;  thyroid nodule detector;  ultrasound;  videorecording;  computer assisted diagnosis;  echography;  feasibility study;  thyroid nodule, Diagnosis, Computer-Assisted;  Feasibility Studies;  Humans;  Thyroid Nodule;  Videotape Recording",
    abstract = "In this paper, we present a computer-aideddiagnosis (CAD) system prototype, named TND (Thyroid Nodule Detector), for the detection of nodular tissue in ultrasound (US) thyroid images and videos acquired during thyroid US examinations. The proposed system incorporates an original methodology that involves a novel algorithm for automatic definition of the boundaries of the thyroid gland, and a novel approach for the extraction of noise resilient image features effectively representing the textural and the echogenic properties of the thyroid tissue. Through extensive experimental evaluation on real thyroid US data, its accuracy in thyroid nodule detection has been estimated to exceed 95%. These results attest to the feasibility of the clinical application of TND, for the provision of a second more objective opinion to the radiologists by exploiting image evidences. © Springer Science+Business Media, LLC 2010."
}