基于超像素光谱聚类的脑肿瘤检测

Kasamina, K. Anusudha
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引用次数: 0

摘要

摘要:脑肿瘤或颅内肿瘤是由于大脑内细胞生长异常而发生的。它有不同的形状、大小和强度。这里采用的分割方法(磁共振成像)是采用谱聚类,其缺点是受相似矩阵构造密集的影响。克服了相似矩阵构造过于密集的缺点,对感兴趣区域(ROI)的识别采用FCM和GMM算法进行脑肿瘤分割。对T水肿和肿瘤核心区域进行了计算,结果表明该方法优于现有方法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BRAIN TUMOUR DETECTION USING SUPER PIXEL BASED SPECTRAL CLUSTERING
Abstract – A brain tumour or intracranial neoplasm occurs due to abnormal cell growth within the brain. It varies in different shape, size and intensity. Here method is been used for the segmentation (Magnetic Resonance Imaging) is used spectral clustering is that it suffers from dense similarity matrix construction. the drawback of dense similarity matrix construction can be overcome identification of region of interest (ROI) FCM and GMM algorithms are used to perform brain tumour segmentation. T edema and tumour core regions are calculate that the proposed method gives better result than the existing
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