ISSN 1004-4140
CN 11-3017/P
Volume 21 Issue 1
Mar.  2012
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LI Ling, YE Hua-shan, YU Hou-qiang. Extraction of ROI from CT Liver Based on Entropy Image Segmention Algorithm[J]. CT Theory and Applications, 2012, 21(1): 53-60.
Citation: LI Ling, YE Hua-shan, YU Hou-qiang. Extraction of ROI from CT Liver Based on Entropy Image Segmention Algorithm[J]. CT Theory and Applications, 2012, 21(1): 53-60.
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Extraction of ROI from CT Liver Based on Entropy Image Segmention Algorithm

  • 1. Department of Biomedical Engineeringof Xianning University, Xianning 437100, China;

  • 2. Department of Mathematics and Statistics of Xianning University, Xianning 437100, China

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  • Received Date: October 13, 2011
  • Available Online: December 09, 2022
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    • Abstract
  • Objective: In the computer-aided diagnosis and treatment of the future,in order to extract a good CT liver tissue has been divided in the interest area.Methods: Using entropy segmentation algorithm for CT liver tissue region of interest of automatic segmentation,and professional doctor’s manual segmentation in the zone of interest relative ratio.Results: Segmentation of the region of interest and specialty physician’s segmentation of the region of interest,with good access to the capacity of region of interest.Conclusion: In different conditions of the liver to do the corresponding pretreatment,and then the manual segmentation of the region of interest and entropy in the corresponding data for comparison,the entropy method is very effective.
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