Tumour detection in brain MRI using improved segmentation algorithm

E. Kumar, V. M. Kumar, M. Sumithra
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引用次数: 8

Abstract

In the present days, for the human body anatomical study and for the treatment planning medical science very much depend on the medical imaging technology and medical images. Specifically for the human brain, MRI widely prefers and using for the imaging. But by nature medical images are complex and noisy. This leads to the necessity of processes that reduces difficulties in analysis and improves quality of output. This paper discuss about an improved segmentation algorithm for different defects detection in brain MRI (Tumour) and have compared the performance of this method with conventional method.
基于改进分割算法的脑MRI肿瘤检测
目前,医学成像技术和医学图像在很大程度上依赖于人体解剖研究和治疗计划。特别是对人类大脑的成像,MRI被广泛使用。但本质上医学图像是复杂和嘈杂的。这导致了减少分析困难和提高输出质量的过程的必要性。本文讨论了一种针对脑MRI(肿瘤)中不同缺陷检测的改进分割算法,并与传统方法进行了性能比较。
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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