Aurora testing the ability of its Deep Learning Engine

By Justin Lee Tweet December 10, 2015 –  Aurora recently had their research engineers apply its Deep Learning platform — an artificial intelligence (AI) system that trains a computer’s memory to recognize unique patterns of characteristics by processing large amounts of data — to recognize the difference between cancerous and non-cancerous tissue. Using a dataset of histopathology images that were pre-labelled as either containing cancer or not containing cancer, the DL platform was able to recognize the difference between the cancerous and non-cancerous tissue. The histopathology images were placed under a microscope and stained to enhance cellular features in the image. The detection of mitosis (cells that are in the process of division) is one of the most popular methods for diagnosing breast cancer on histology images. Physicians will typically analyze…


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