Ros‐NET: A deep convolutional neural network for automatic identification of rosacea lesions

Rosacea is one of the most common cutaneous disorder characterized primarily by facial flushing, erythema, papules, pustules, telangiectases, and nasal swelling. Diagnosis of rosacea is principally done by a physical examination and a consistent patient history. However, qualitative human assessment is often subjective and suffers from a relatively high intra‐ and inter‐observer variability in evaluating patient outcomes.

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