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Segmentation of ultrasound breast images based on a neutrosophic method

机译：基于中智方法的超声乳腺图像分割

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摘要

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.
机译：乳腺癌是女性的主要癌症之一。超声波通常用于乳腺癌的诊断，因为它无害，便携式且成本低廉。但是，由于乳房超声（BUS）图像对比度低和斑点噪声小，因此分割是一项艰巨的任务。中智学研究中立性的起源，性质和范围，以及它们与不同概念光谱的相互作用。它是扩展模糊逻辑的新哲学，是中智逻辑，中智概率论，中智集合论和中智统计的基础。在本文中，我们采用了中智学，并开发了一种用于BUS图像分割的全自动算法。通过使用中智学，我们在超声图像中整合了关于斑点的两个相互矛盾的观点：斑点是噪声，斑点包括模式信息。实验表明，该方法是准确，有效和鲁棒的。

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  • 来源
    《Optical engineering》 |2010年第11期|p.117001.1-117001.12|共12页
  • 作者

    Ming Zhang; Ling Zhang; Heng-Da Cheng;

  • 作者单位

    Utah State University Department of Computer Science Old Main Hill 414 Logan, Utah 84322;

    Shandong University School of Mathematics and System Sciences Jinan, Shandong, 250100 China;

    Utah State University Department of Computer Science Old Main Hill 414 Logan, Utah 84322;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    breast ultrasound image; image segmentation; neutrosophy; water-shed;

    机译：乳房超声图像;图像分割中智学流水;

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