Melanoma Dermoscopic Image Segmentation by Analyzing Color Features using Active Contour Model
Melanoma Dermoscopic Image Segmentation by Analyzing Color Features using Active Contour Model
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Edmonton: International Information and Engineering Technology Association (IIETA)
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Edmonton: International Information and Engineering Technology Association (IIETA)
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Advanced diagnosis and successful treatment of melanoma depend on early detection, especially in light of the significant rise in melanoma cases in recent years. The suggested Active Contour Model (ACM) and machine learning (ML) techniques are used in this research to present a robust dermoscopic lesion image segmentation process for melanoma ident...
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Melanoma Dermoscopic Image Segmentation by Analyzing Color Features using Active Contour Model
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TN_cdi_proquest_journals_3179774211
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3179774211
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ISSN
0765-0019
E-ISSN
1958-5608
DOI
10.18280/ts.420133
