利用不同分块处理方法提取超声乳房x线图像的感兴趣区域

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI:10.1109/ICCCSP.2017.7944091

G. Jothilakshmi, R. J. Christilda, A. Raaza, Y. SreenivasaVarma, V. Rajendran

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引用次数: 5

摘要

当今妇女中最主要的癌症是乳腺癌，它导致死亡率上升。因此，在早期阶段发现乳腺癌使治疗变得容易，并提高了生存率。本文提出了一种从声像图图像中有效寻找感兴趣区域的方法。首先进行滤波以增强图像。然后对图像进行分类，得到每个分类的三维图;从图像的每个三维图中确定峰值的数量。具有大量峰值的块的组合被识别为ROI。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Extracting region of interest using distinct block processing method in sono-mammogram images

The most leading cancers in women's are Breast Cancer nowadays, and it causes increase in the rate of mortality. So the detection of breast cancer at its early stage makes the treatments easy and increases the survival rate. In this paper, a method is proposed to find the Region of Interest(RoI) from the sonomammogram image effectively. First filtering is taken place in order to enhance the image. Second the image is binned and 3D plot of each bin is obtained. From each 3D plot of the binned image the number of peaks are determined. The combination of blocks which are having large number of peaks are identified as ROI.

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2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)

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