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Skin Lesion Classification With Deep Convolutional Neural Network: Process Development and Validation

Skin Lesion Classification With Deep Convolutional Neural Network: Process Development and Validation

By fine-tuning Inceptionv3, Esteva et al [2] proposed that, “CNN achieves performance on par with all tested experts, demonstrating an artificial intelligence capable of classifying skin cancer with a level of competence comparable to dermatologists”. Esteva and colleagues used their own obtained dermatologist-labelled data set consisting of 129,450 clinical images, including 3374 dermoscopy images. This data set includes 2032 skin diseases, belonging to 9 skin disease partitions.

Arnab Ray, Aman Gupta, Amutha Al

JMIR Dermatol 2020;3(1):e18438