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Automatic detection of brain tumor based on magnetic resonance image using CAD System with watershed segmentation

机译:分水岭分割的CAD系统基于磁共​​振图像的脑肿瘤自动检测

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In medical image processing segmentation of anatomical regions of the brain is the fundamental problem. Here, a brain tumor segmentation method has been developed and validated using MRI Data. In Preprocessing and Enhancement stage, medical image is converted into standard formatted image. Segmentation subdivides an image into its constituent regions or objects. This method can segment a tumor provided that the desired parameters are set properly. In this paper, after a manual segmentation procedure the tumor identification, the investigations has been made for the potential use of MRI data for improving brain tumor shape approximation and 2D & 3D visualization for surgical planning and assessing tumor.
机译:在医学图像处理中,脑部解剖区域的分割是基本问题。在这里,已经开发出了脑肿瘤分割方法,并使用MRI数据进行了验证。在预处理和增强阶段,医学图像将转换为标准格式的图像。分割将图像细分为其组成区域或对象。只要正确设置所需参数,此方法就可以分割肿瘤。在本文中,在对肿瘤进行了手动分割之后,对MRI数据在改善脑肿瘤形状近似中的潜在用途以及2D和3D可视化在外科手术计划和评估中的潜在用途进行了研究。

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