Original paper
Dermatologist-level classification of skin cancer with deep neural networks
Abstract
An artificial intelligence trained to classify images of skin lesions as benign lesions or malignant skin cancers achieves the accuracy of board-certified dermatologists. Andre Esteva et al. used 129,450 clinical images of skin disease to train a deep convolutional neural network to classify skin lesions. The result is an algorithm that can classify lesions from photographic images similar to those taken with a mobile phone. The accuracy of the...
Paper Details
Title
Dermatologist-level classification of skin cancer with deep neural networks
Published Date
Jan 25, 2017
Journal
Volume
542
Issue
7639
Pages
115 - 118
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Notes
History