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Development of CAD system for analysis of vague set theory based contrast enhancement technique in mammograms

机译:基于Vague集理论的乳腺X线造影增强技术分析CAD系统的开发。

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摘要

Computer-aided diagnosis (CAD) of mammograms has received great attention because of its speed and consistency and could provide a promising solution. However, poor visibility of mammographic features addresses the necessity of accurate contrast enhancement technique. In the present study, we have examined the problem of fuzziness/ impreciseness of mammograms such as inhomogeneous background, indistinct borders, ill-defined shapes, varying intensities of the suspicious region and low distinguishability from surroundings. Though fuzzy logic based contrast enhancement technique has good potential to handle the problem of impreciseness in mammograms, more generalized and flexible Vague Set approach is proposed here to capture the vagueness of mammograms. Performance of the proposed contrast enhancement technique is compared and evaluated with other two techniques using CAD based classification approach.
机译:乳房X线照片的计算机辅助诊断(CAD)由于其速度和一致性而备受关注,并可能提供有希望的解决方案。然而,乳房X光检查特征的较差的可见性解决了精确的对比增强技术的必要性。在本研究中,我们检查了乳房X线照片模糊/不精确的问题,例如背景不均匀,边界不清晰,形状不明确,可疑区域的强度变化以及与周围环境的可分辨性低。尽管基于模糊逻辑的对比度增强技术具有很好的潜力来处理乳房X线照片的不精确性问题,但在此提出了更为通用和灵活的Vague集方法来捕获乳房X线照片的模糊性。使用基于CAD的分类方法,将所提出的对比度增强技术的性能与其他两种技术进行比较和评估。

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