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Zhu, C.M., Gu, G.C., Liu, H.B., Shen, J. And Yu, H.L., (2008) Segmentation of ultrasound image based on cluster ensemble. IEEE International Symposium on Knowledge Acquisition and Modeling Workshop, Wuhan, 21-22 December 2008, 418-421. doi:10.1109/KAMW.2008.4810513

has been cited by the following article:

• TITLE: Medical ultrasound image segmentation using genetic active contour

  AUTHORS: Mohammad Talebi, Ahamd Ayatollahi, Ali Kermani

  KEYWORDS: Segmentation; Active Contour; Genetic Al-gorithm; Ultrasound Images

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.4 No.2, February 25, 2011

  ABSTRACT: Image segmentation is one of the earliest and most important stages of image processing and plays an important role in both qualitative and quantitative analysis of medical ultrasound images but ultrasound images have low level of contrast and are corrupted with strong speckle noise. Due to these effects, segmentation of ultrasound images is very challenging and traditional image segmentation methods may not be leads to satisfactory results. The active contour method has been one of the widely used techniques for image segmentation; however, due to low quality of ultrasound images, it has encountered difficulties. In this paper, we presented a segmental method combined genetic algorithm and active contour with an energy minimization procedure based on genetic algorithms. This method have been proposed to overcome some limits of classical active contours, as con-tour initialization and local minima (speckle noise), and have been successfully applied on medical ultrasound images. Experimental result on medical ultrasound image show that our presented method only can correctly segment the circular tissue’s on ultra-sound images.