British facial recognition technology firm Aurora has revealed how its face recognition deep learning software has been used to identify cancerous tissue.The company gave its research engineers the challenge of training an AI to recognise the difference between cancerous and non-cancerous tissue.One of the most popular methods for diagnosing breast cancer on histology images is by detecting mitosis (cells that are in the process of division). Historically a professionally trained physician looks at each individual frame and marks the presence of mitosis, in a very slow and time consuming process.There has been a lot of interest in finding an accurate and automatic solution to this problem. To this end a medical imaging challenge was set in 2014 by the International Conference of Pattern Recognition that concentrated on finding a solution to this problem.Using the dataset provided for the 2014 International Conference of Pattern Recognition challenge, the firm created an AI to detect the occurrence of mitosis. An analysis of the accuracy on a blind test set, demonstrated outstanding results and even suggest a higher level of accuracy that the 2014 competition winner.”This challenge has proven that our Deep Learning platform has the power and capability to be applied to completely unrelated fields to our core area of experience in face recognition. We feel confident that we would be able to apply our technology to a wide variety of sources with incredibly reliable results in a relatively short period of time”.

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