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Deep learning algorithm beats dermatologists in diagnosis of skin cancer –

25-Jan-2017

Key points from article :

Stanford Artificial Intelligence Laboratory used a deep convolutional neural network (CNN) algorithm.

Performed as well or better than 21 board-certified dermatologists at diagnosing skin cancer.

Built on work by Google to differentiate cats from dogs.

Algorithm was trained with nearly 130,000 images representing over 2,000 diseases.

The study was published in the Nature journal.

Mentioned in this article:

Click on resource name for more details.

Andre Esteva

Head of Medical AI at Salesforce

Nature

Scientific journal covering research from a variety of academic disciplines, mostly in science and technology

Sebastian Thrun

CEO at Kitty Hawk and President at Udacity.

Stanford Artificial Intelligence Laboratory (SAIL)

Center of excellence for Artificial Intelligence research.

Topics mentioned on this page:
AI in Healthcare