Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks

Abstract

Our findings show that automated classification of dermoscopic melanoma and nevi images is extendable to a multiclass classification problem, thus better reflecting clinical differential diagnoses, while still outperforming dermatologists at a significant level (p < 0.001).

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