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  1. Home
  2. Volume 7, Issue 9
  3. Author

Online ISSN: 2515-8260

Volume7, Issue9

DIABETES DETECTION USING TONGUE IMAGE USING EXTRACTION OF GLOBAL FEATURES AND DECISION TREE

    S. Bhuvaneswari

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 1535-1539
10.31838/ejmcm.07.09.166

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Abstract

In the day to day working of people, the tongue plays a significant role.The tongue is an organ connected to each other parts.Diabetics classification using tongue images are described in this study. Diabetes detection using tongue image using extraction of texture and random forestis described in this study.Initially, the input tongue images are given to global feature for feature extraction and finally, the decision treeclassifieris used for classification. Experimental results show the performance of proposed system using texture and RFC.
Keywords:
    Diabetes detection Tongue images Decision tree Classifier Global feature
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(2020). DIABETES DETECTION USING TONGUE IMAGE USING EXTRACTION OF GLOBAL FEATURES AND DECISION TREE. European Journal of Molecular & Clinical Medicine, 7(9), 1535-1539. doi: 10.31838/ejmcm.07.09.166
S. Bhuvaneswari. "DIABETES DETECTION USING TONGUE IMAGE USING EXTRACTION OF GLOBAL FEATURES AND DECISION TREE". European Journal of Molecular & Clinical Medicine, 7, 9, 2020, 1535-1539. doi: 10.31838/ejmcm.07.09.166
(2020). 'DIABETES DETECTION USING TONGUE IMAGE USING EXTRACTION OF GLOBAL FEATURES AND DECISION TREE', European Journal of Molecular & Clinical Medicine, 7(9), pp. 1535-1539. doi: 10.31838/ejmcm.07.09.166
DIABETES DETECTION USING TONGUE IMAGE USING EXTRACTION OF GLOBAL FEATURES AND DECISION TREE. European Journal of Molecular & Clinical Medicine, 2020; 7(9): 1535-1539. doi: 10.31838/ejmcm.07.09.166
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