A disk expansion segmentation method for ultrasonic breast lesions
Pattern Recognition
Computer Methods and Programs in Biomedicine
A pattern similarity scheme for medical image retrieval
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
An efficient local Chan-Vese model for image segmentation
Pattern Recognition
TND: A Thyroid Nodule Detection System for Analysis of Ultrasound Images and Videos
Journal of Medical Systems
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This paper presents a computer-aided approach for nodule delineation in thyroid ultrasound (US) images. The developed algorithm is based on a novel active contour model, named variable background active contour (VBAC), and incorporates the advantages of the level set region-based active contour without edges (ACWE) model, offering noise robustness and the ability to delineate multiple nodules. Unlike the classic active contour models that are sensitive in the presence of intensity inhomogeneities, the proposed VBAC model considers information of variable background regions. VBAC has been evaluated on synthetic images, as well as on real thyroid US images. From the quantification of the results, two major impacts have been derived: 1) higher average accuracy in the delineation of hypoechoic thyroid nodules, which exceeds 91%; and 2) faster convergence when compared with the ACWE model.