A smart system of 3D liver tumour segmentation
作者: Ankur Biswas Paritosh Bhattacharya Santi Prasad Maity
刊名: Int. J. of Product Development, 2019, Vol.23 (2/3), pp.89-104
来源数据库: Inderscience Enterprises Limited
DOI: 10.1504/IJPD.2019.099210
关键词: Semi-automatic segmentationMedical imagesGeodesic active contourLevel setROIRegion of interestComputed tomographyDice SCJaccard SC.
原始语种摘要: An efficient segmentation of liver tumour and volumetry facilitates medical experts to resolve the rate of tumour growth and follow up treatment. In this paper, a smart system for semi-automatic segmentation of liver tumour from medical images based on Geodesic active contours using level set method is proposed. The system passes through following stages. After the image is loaded, the Region of Interest (ROI) is selected and the Geodesic Active Contours with level set methods are initialised. Then segmentation result is updated to extract the tumour in three dimensions. The liver tumours detected by the system were compared with those delineated manually by experts, used as the ground truth results. The system was evaluated on Computed Tomography images of different datasets of tumours...
全文获取路径: Inderscience 出版公司 

  • segmentation 分段
  • automatic 自动的
  • system 
  • contour 轮廓
  • liver 
  • tumour 肿瘤
  • manually 手控
  • ROI 感兴趣区
  • efficient 有用的
  • effectiveness 有效性