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《Bulletin of Science and Technology》 2012-03
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Feature Analysis of Endemic Liver Hydatid CT Images in Xinjiang with Gray Level Co-occrence Matrix

MURA·Hamit1,LIli1,Akram·Axim2,SUN Jing,ZHOU Jinjin1,BI Xuehua1,GONG Xinfang1(1.College of Medical Engineering,Xinjiang Medical University,Urumqi 830011,China; 2.Network control center,Xinjiang Medical University,Urumqi 830011,China)  
In this paper,extract the statistical texture feature of Xinjiang local Liver hydatid CT images using Gray level co-occurrence matrix,and various parameters are calculated and analyzed.The results show that correlation,entropy,contrast of CT images of liver hydatid disease in different directions,have significant differences compared with normal liver,which can effectively distinguish mono-hydatid cyst and multiple daughter hydatid cyst CT images,The study provide the basis for hepatic hydatid disease in Xinjiang local clinical diagnosis.
【Fund】: 国家自然科学基金资助项目(No.30960097);; 新疆医科大学科研创新基金(XJC201089);新疆医科大学科研创新基金(2007-16)
【CateGory Index】: R532.32;TP391.41
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