An efficient brain tumor segmentation based on cellular automata and improved tumor-cut algorithm

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• 作者：Chaiyanan Sompong ^{chaiyanan_s@kkumail.com} ; Sartra Wongthanavasu ; ^{wongsar@kku.ac.th}
• 关键词：Gray-level co-occurrence matrix ; Cellular automata ; Tumor-cut segmentation ; Spatial information
• 刊名：Expert Systems with Applications
• 出版年：2017
• 出版时间：15 April 2017
• 年：2017
• 卷：72
• 期：Complete
• 页码：231-244
• 全文大小：4066 K
• 卷排序：72

文摘

The novel gray-level co-occurrence matrix based cellular automata (GLCM-CA) for image transformation was proposed. We proposed Improved Tumor-Cut algorithm (ITC) to achieve the higher performance. State-of-the-art ITC and GLCM-CA were used for segmentation and evaluation. Dice quantitative evaluation metric was implemented on BRaTS2013 training and testing datasets.