most citedNew pyramidal hybrid textural and deep features based automatic skin cancer classification model: Ensemble DarkNet and textural feature extractor

9 citations · 9 across the 1 of their papers we have counts for

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1 paper

cs.CV2022★ 9 cited

New pyramidal hybrid textural and deep features based automatic skin cancer classification model: Ensemble DarkNet and textural feature extractor

Mehmet Baygin, Turker Tuncer, Sengul Dogan

Background: Skin cancer is one of the widely seen cancer worldwide and automatic classification of skin cancer can be benefited dermatology clinics for an accurate diagnosis. Hence…