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

Online ISSN: 2515-8260

Volume7, Issue9

WATERSHED ALGORITHM IN MULTICHANNEL FOR SKIN LESION SEGMENTATION

    V. Shanthi G. Sridevi R. Charanya J. Josphin Mary

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 1374-1378
10.31838/ejmcm.07.09.140

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Abstract

The abnormal growth of skin cells is skin cancer. Early skin cancer diagnosis is important. The dermoscopic images of the watershed algorithm are presented for the detection of skin cancer. The Gaussian philtre eliminates unnecessary areas of the skin. Then normal and abnormal pictures of the pre-processed skin cancer segment are provided to the water-shifting algorithm. The findings demonstrate the efficacy of a method for classifying skin cancer using a watershed algorithm.
Keywords:
    Skin cancer detection Gaussian filter segmentation Watershed algorithm
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(2020). WATERSHED ALGORITHM IN MULTICHANNEL FOR SKIN LESION SEGMENTATION. European Journal of Molecular & Clinical Medicine, 7(9), 1374-1378. doi: 10.31838/ejmcm.07.09.140
V. Shanthi; G. Sridevi; R. Charanya; J. Josphin Mary. "WATERSHED ALGORITHM IN MULTICHANNEL FOR SKIN LESION SEGMENTATION". European Journal of Molecular & Clinical Medicine, 7, 9, 2020, 1374-1378. doi: 10.31838/ejmcm.07.09.140
(2020). 'WATERSHED ALGORITHM IN MULTICHANNEL FOR SKIN LESION SEGMENTATION', European Journal of Molecular & Clinical Medicine, 7(9), pp. 1374-1378. doi: 10.31838/ejmcm.07.09.140
WATERSHED ALGORITHM IN MULTICHANNEL FOR SKIN LESION SEGMENTATION. European Journal of Molecular & Clinical Medicine, 2020; 7(9): 1374-1378. doi: 10.31838/ejmcm.07.09.140
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