Testing the ability of our Deep Learning Engine

Deep Learning techniques can and have been applied to produce a range of different solutions over the past few years. Having mastered the Facial Recognition requirements, we decided it was time to see if our Deep Learning platform could create an AI (Artificial Intelligence) to recognise other classifications. We set one of our Research Engineers the challenge of training an AI to recognise the difference between cancerous and non-cancerous tissue. The data used for the project were histopathology images that were pre-labelled as to whether cancer was present or not. Histopathology images are taken under the microscope and are stained to enhance cellular features in the image. One of the most popular methods for diagnosing breast cancer on histology images is by detecting mitosis (cells that are in the process…

Link to Full Article: Testing the ability of our Deep Learning Engine

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