A survey of breast cancer detection based on image segmentation techniques

B. Gayathri, P. Raajan
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引用次数: 19

Abstract

In the present scenario digital image processing occupies a dynamic role in every area of human survival. Image processing refers to progress the digital images and mine attributes from images. Processing a digital image will be a challenging task. Image processing technology has been well occupied in medical technology but the crucial risk is that mortality is raised owed to cancer. Breast cancer has turn out to be the most important causes of death in women. Image segmentation describes an image could be divided into regions based on some similar attributes like color, intensity or texture. In the midst of the budding analysis on image segmentation, provide an outline of segmentation techniques and scrutinize the result in each category. In this review, we are presenting some survey and review of image segmentation techniques.
基于图像分割技术的乳腺癌检测研究进展
在当前的场景下,数字图像处理在人类生存的各个领域都占据着动态的作用。图像处理是指从图像中提取数字图像和矿山属性。处理数字图像将是一项具有挑战性的任务。图像处理技术在医疗技术中占有很重要的地位,但关键的风险是癌症导致的死亡率提高。乳腺癌已被证明是妇女死亡的最重要原因。图像分割描述了图像可以根据一些相似的属性(如颜色、强度或纹理)划分成区域。在对图像分割的初步分析中,概述了分割技术,并对每个类别的结果进行了审查。本文对图像分割技术进行了综述。
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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