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A Learning Based Brain Tumor Detection System 被引量:2
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作者 Sultan Noman Qasem amar nazar +2 位作者 Attia Qamar Shahaboddin Shamshirband Ahmad Karim 《Computers, Materials & Continua》 SCIE EI 2019年第6期713-727,共15页
Brain tumor is one of the most dangerous disease that causes due to uncontrollable and abnormal cell partition.In this paper,we have used MRI brain scan in comparison with CT brain scan as it is less harmful to detect... Brain tumor is one of the most dangerous disease that causes due to uncontrollable and abnormal cell partition.In this paper,we have used MRI brain scan in comparison with CT brain scan as it is less harmful to detect brain tumor.We considered watershed segmentation technique for brain tumor detection.The proposed methodology is divided as follows:pre-processing,computing foreground applying watershed,extract and supply features to machine learning algorithms.Consequently,this study is tested on big data set of images and we achieved acceptable accuracy from K-NN classification algorithm in detection of brain tumor. 展开更多
关键词 Magnetic resonance imaging brain tumor WATERSHED SEGMENTATION K-NN classification
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