换一批Classification of brain tumor using devernay sub-pixel edge detection and k-nearest neighbours methodology
摘要Any disease can be treated only once it is imaged,detected and classified.This paper proposes a set of algorithms for classification of a brain tumor with better accuracy and efficiency.The proposal uses a JPEG format of the DICOM image fed into three stages namely pre-processing,segmentation using sub-pixel edge detection method and using the nearest neighbor methodology for the detection and differentiation of benign and malignant tumors.
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关键词
Brain tumormagnetic resonance imagingk-nearest neighborsub-pixel edge detectioncontrast enhancementmalignantbenignclassificationmedical image processing
栏目名称
DOI
10.20517/2347-8659.2018.11
发布时间
2018-08-13（万方平台首次上网日期，不代表论文的发表时间）
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