IMAGE MINING USED SEGMENTATION TECHNIQUE MRI SCAN BRAIN TUMOR IMAGES ANALYSIS (IMUSA)
作者: Prof. P.Senthil
刊名: Journal of Computer - JoC, 2016, Vol.1 (1)
来源数据库: Journal of Computer
关键词: MRsegmentationcorrelationSSLSushisenMRI scanMATLAB as technical tool
原始语种摘要: Tumor segmentation from MRI image is important part of medical images experts. This is particularly a challenging task because of the high assorting appearance of tumor tissue among different patients. MRI images are advance of medical imaging because it is give richer information about human soft tissue. There are different segmentation techniques to detect MRI brain tumor. In this paper different procedure segmentation methods are used to segment brain tumors and compare the result of segmentations by sushisen algorithm in datax dataset using correlation and structural similarity List (SSL) to analyses and see the best technique that could be applied to MRI scan image boundaries using different segmentation techniques based and compare the definition of the tumor using MATLAB as...
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关键词翻译
关键词翻译
  • segmentation 分段
  • SCAN Self-Correcting Automatic Navigation
  • MRI Machine-Readable Information
  • brain 
  • image 
  • human 人的
  • technique 技术
  • compare 比较
  • imaging 图像形成
  • appearance 外表