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• W2120765431 startingPage "117001" @default.
• W2120765431 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." @default.
• W2120765431 created "2016-06-24" @default.
• W2120765431 creator A5048944139 @default.
• W2120765431 creator A5071931462 @default.
• W2120765431 creator A5080733133 @default.
• W2120765431 date "2010-11-01" @default.
• W2120765431 modified "2023-10-16" @default.
• W2120765431 title "Segmentation of ultrasound breast images based on a neutrosophic method" @default.
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• W2120765431 doi "https://doi.org/10.1117/1.3505854" @default.
• W2120765431 hasPublicationYear "2010" @default.
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