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AI outperforms dermatologists in diagnosing skin cancer

May 30, 2018

Dermatologists are no match for artificial intelligence when it comes to diagnosing skin cancer, according to a new study by researchers in the United States, France and Germany.

The international team trained a convolutional neural network (CNN) to identify skin cancer by showing it more than 100,000 images of malignant melanomas as well as benign moles.

Specifically, they trained and validated Google’s Inception v4 CNN architecture using dermoscopic images at a 10-fold magnification and corresponding diagnoses. Then, they compared its performance with that of 58 international dermatologists from 17 countries—including 30 experts with more than five years of experience.

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