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Home Industry News Algorithm developed to aid diagnosis of skin cancer

Algorithm developed to aid diagnosis of skin cancer

26th January 2017

A new algorithm has been developed that could make it possible to diagnose skin cancer through an automated process.

Researchers from Stanford University created a artificially intelligent diagnosis algorithm for skin cancer, based on software developed by Google that was already trained to identify 1.28 million images from 1,000 object categories.

Around 130,000 images of skin lesions representing more than 2,000 diseases were fed to the algorithm to train it to differentiate between the conditions, before its performance was compared to diagnoses offered by 21 real-life dermatologists.

In its diagnoses of skin lesions representing the most common and deadliest skin cancers, the algorithm was shown to be able to match the performance of dermatologists in the majority of cases.

It could be possible to develop this algorithm into a smartphone application that can identify cases of cancer, even when doctors cannot be physically present.

Study co-author Susan Swetter, professor of dermatology at the Stanford Cancer Institute, said: "Advances in computer-aided classification of benign versus malignant skin lesions could greatly assist dermatologists in improved diagnosis for challenging lesions and provide better management options for patients."

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