Melanin stacking differences in pigmented and non-pigmented melanomas: quantitative differentiation between pigmented and non-pigmented melanomas based on light-scattering properties

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SUMMARY

    Melanoma`s unique presentation and identification through traditional dermoscopy, computer-aided image analysis, and, most recently, machine_learning and artificial_intelligence (AI) methods require a detailed analysis. Trends in the current literature dictate that there is a need for more quantitative staging, which may be achievable through the integration of AI and machine_learning diagnostics. Incidence rates in the United_States have doubled between 1982 and 2011, and the annual cost of treating newly diagnosed melanomas is forecasted to triple by 2030. This research is of utmost importance and relevance as melanoma and other skin cancers remain of . . .

     

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