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2007

A genetically optimized level set approach to segmentation of thyroid ultrasound images

8 years 11 months ago
A genetically optimized level set approach to segmentation of thyroid ultrasound images
This paper presents a novel framework for thyroid ultrasound image segmentation that aims to accurately delineate thyroid nodules. This framework, named GA-VBAC incorporates a level set approach named Variable Background Active Contour model (VBAC) that utilizes variable background regions, to reduce the effects of the intensity inhomogeneity in the thyroid ultrasound images. Moreover, a parameter tuning mechanism based on Genetic Algorithms (GA) has been considered to search for the optimal VBAC parameters automatically, without requiring technical skills. Experiments were conducted over a range of ultrasound images displaying thyroid nodules. The results show that the proposed GA-VBAC framework provides an efficient, effective and highly objective system for the delineation of thyroid nodules.
Dimitrios K. Iakovidis, Michalis A. Savelonas, Sta
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2007
Where APIN
Authors Dimitrios K. Iakovidis, Michalis A. Savelonas, Stavros A. Karkanis, Dimitrios E. Maroulis
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