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首页> 外文期刊>International journal of simulation: systems, science and technology >A HYBRID APPROACH TO THE CLASSIFICATION OF BRAIN TUMOURS FROM MRI IMAGES USING FAST BOUNDING BOX ALGORITHM
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A HYBRID APPROACH TO THE CLASSIFICATION OF BRAIN TUMOURS FROM MRI IMAGES USING FAST BOUNDING BOX ALGORITHM

机译:利用快速边界箱算法对MRI图像进行脑肿瘤分类的杂化方法

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摘要

Recently, image processing in medical applications has been one of the most inspiring emerging fields. In medical imageprocessing MRI techniques are widely used to detect brain tumours. There is a different strategy to detect and extract the braintumour signal. The process of detecting and extracting the brain tumour signals is based on the MRI scanned images for thecerebrum. This method includes segmentation, morphological operations and some noise removal functions. This hybrid approachincludes Bhattacharyya Coefficient for extraction of features and bounding box methodology for brain tumour classification. Thework is implemented in MATLAB 2016a.
机译:最近,医学应用中的图像处理是最鼓舞人心的新兴领域之一。在医学图像采收下,MRI技术被广泛用于检测脑肿瘤。有一种不同的策略来检测和提取Braintumour信号。检测和提取脑肿瘤信号的过程基于MRI扫描图像的扫描图像。该方法包括分段,形态操作和一些噪声去除功能。这种杂种方法包括Bhattacharyya的提取系数和脑肿瘤分类的特征和边界盒方法。 Workwork是在Matlab 2016A中实施的。

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