A Learning Based Brain Tumor Detection System

• 作者: Ahmad Karim Amar Nazar Attia Qamar Shahaboddin Shamshirband Sultan Noman Qasem
• 来源期刊: 计算机、材料和连续体(英文)
• 学科: 医学
• 关键词: Magnetic RESONANCE imaging BRAIN tumor WATERSHED SEGMENTATION K-NN classification
• 年，卷（期）: 2019,（6）
• 页码范围: 713-727
• 页数: 15页
• 分类号: R73

摘要

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.