1 November 2010 Segmentation of ultrasound breast images based on a neutrosophic method
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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.
© (2010) Society of Photo-Optical Instrumentation Engineers (SPIE)
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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