Automated Technique for Segmentation of Brain Tumor in MR Images

Rakshanda M. Mapari, H. G. Virani
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引用次数: 1

Abstract

Cerebrum Tumor is the unusual or unrestrained cell division within the brain. The remedial problems are serious if tumors are not diagnosed at early stage inevitably most timely examination is necessary. This paper deals with detection of tumor region by Morphological Operators based segmentation approach. It contains upgrade, partition and positioning stages. To extract the tumor region the images are partitioned and order by categorizing them into Benign and Malignant. In case if there are more number of images, doctors could save time by using this approach.
磁共振图像中脑肿瘤的自动分割技术
脑瘤是大脑内不寻常的或不受限制的细胞分裂。如果肿瘤不及早诊断,治疗问题严重,不可避免地需要最及时的检查。本文研究了基于形态学算子的肿瘤区域分割方法。它包含升级、分区和定位三个阶段。为了提取肿瘤区域,将图像分为良性和恶性两类进行分割和排序。在图像数量较多的情况下,使用这种方法可以节省医生的时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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