MRI图像中脑肿瘤检测的自动分割技术

Vishal Sawant, Palhavi Kerkar
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引用次数: 1

摘要

脑瘤是大脑中异常细胞的发展。x射线是发现肿瘤发展的宝贵仪器。如果肿瘤在晚期被发现,医学问题是严重的,因此最及时的分析是必不可少的。本文采用基于像素的分割技术对MR图像中的肿瘤进行自然去除。它包括升级、划分和排列步骤。通过将改进后的图像标记为普通和异常,对改进后的图像进行了分割和排序,以提取图像中的元素。它完成了各种核磁共振检查。在标本数量较多的情况下,医生可以利用这种策略腾出时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic segmentation technique for detection of brain tumor in MRI images
Cerebrum Tumor is the development of anomalous cells in the mind. X-ray is valuable apparatus for the discovery of tumor development. The medicinal issues are serious if tumor is identified at the later stage consequently most punctual analysis is essential. In this paper we naturally remove the tumor in MR Images by pixel based division technique. It includes upgrade, division and arrangement steps. To extricate the element the improved pictures are portioned and ordered by marking pictures into ordinary and anomalous. It is accomplished for various MRI tests. In the event that specimens are more in number, doctor could spare time utilizing this strategy.
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