Segmentation of ultrasound breast images based on a neutrosophic method

Ming Zhang; Ling Zhang; Heng-Da Cheng

doi:10.1117/1.3505854

Abstract

Breast cancer is one of the leading cancers of women. Ultrasound is often used for breast cancer diagnosis because it is harmless, portable, and low-cost. However, the segmentation of breast ultrasound (BUS) images is a difficult task due to their low contrast and speckle noise. Neutrosophy studies the origin, nature, and scope of neutralities and their interactions with different ideational spectra. It is a new philosophy to extend fuzzy logic and is the basis of neutrosophic logic, neutrosophic probability theory, neutrosophic set theory, and neutrosophic statistics. In this paper, we employ neutrosophy and develop a fully automatic algorithm for BUS image segmentation. By using neutrosophy, we integrate two conflicting opinions about speckle in ultrasound image: speckle is noise and speckle includes pattern information. The experiments demonstrate that the proposed approach is accurate, effective, and robust.

Citation Download Citation

Ming Zhang, Ming Zhang, Ling Zhang, Ling Zhang, Heng-Da Cheng, Heng-Da Cheng, } "Segmentation of ultrasound breast images based on a neutrosophic method," Optical Engineering 49(11), 117001 (1 November 2010). https://doi.org/10.1117/1.3505854 . Submission:

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