Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 7, 891(2022)

Experimental research on automatic object extraction from CT image based on information entropy

Chun-yu CHEN1, Ying-cong HUANG1,2,4,5,6、*, Qiang WANG7, Guang-rong LI1, and Yue-shun HE2,3,5
Author Affiliations
  • 1School of Earth Sciences,East China University of Technology,Nanchang 330013,China
  • 2Network and Information Center,East China University of Technology,Nanchang 330013,China
  • 3College of Information Engineering,East China University of Technology,Nanchang 330013,China
  • 4Jiangxi Provincial Key Laboratory of Digital Land,Nanchang 330013,China
  • 5Jiangxi Provincial Engineering Laboratory of Radiology Big Data Technology,Nanchang 330013,China
  • 6State Key Laboratory of Nuclear Resources and Environment,Nanchang 330013,China
  • 7Institute of Vertebrate Paleontology and Paleoanthropology,Chinese Academy of Sciences,Beijing 100044,China
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    References(19)

    [1] GAO L N, CHEN W G. The application and prospect of CT[J]. Computerized Tomography Theory and Applications, 18, 99-109(2009).

    [8] SONG H, WANG Y, HUANG X C et al. A dynamic adaptive region growing segmentation algorithm for tumor of liver CT images[J]. Transactions of Beijing Institute of Technology, 34, 72-76(2014).

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    Chun-yu CHEN, Ying-cong HUANG, Qiang WANG, Guang-rong LI, Yue-shun HE. Experimental research on automatic object extraction from CT image based on information entropy[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(7): 891

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    Paper Information

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    Received: Dec. 27, 2021

    Accepted: --

    Published Online: Jul. 7, 2022

    The Author Email: Ying-cong HUANG (5828516@qq.com)

    DOI:10.37188/CJLCD.2021-0343

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