Skychain AI for skin cancer recognition is available for free

Since the release of the ANN for skin diseases recognition in Skychain Alpha, its architecture has undergone some significant changes. This led the neural network to become more accurate and convenient for usage.

In order more people could see and try the results of our work, we decided to make it available at no cost.

The main achievement for us is that the neural network can process now high-quality images taken with a camera phone, which significantly simplifies the check process of a questionable mole.

There are five diseases it recognizes: actinic and benign keratosis, basal carcinoma, dermatofibroma and melanoma. The average accuracy of predictions is now 85% instead of previous 70%.

Image requirements

  • colored, clear and not overexposed,
  • without foreign objects,
  • with a mole in the middle,
  • 600x400 pixel-sized or bigger.

What has our developer done to improve the result?

Precision-Recall curves for the ANN

To understand the difference between precision/recall better, there is a good, understandable wiki article.

ROC curves for detection of the diseases

To find out more about the ANN, watch the video interview with Skychain developer Dmitry Musinov:

Read the previous post about this Neural Network.

Try this neural network and the others in Skychain Alpha.

Join Skychain Global on social media: Twitter, Facebook, Telegram.

Iva Chernysheva, Marketing Manager

Blockchain infrastructure aimed to host, train and use artificial intelligence (AI) in healthcare. Our website:

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