Making the decision on whether or not a patient has cancer usually involves trained professionals meticulously scanning tissue samples over weeks and months. <\/p>\n
But an artificial intelligence (AI) program owned by Alphabet, Google's parent company, may be able to do it much, much faster. <\/p>\n
Google is working hard to tell the difference between healthy and cancerous tissue as well as discover if metastasis has occured. <\/p>\n
\"Metastasis detection is currently performed by pathologists reviewing large expanses of biological tissues. This process is labour intensive and error-prone,\" explained DeepMind in a white paper outlining the study. <\/p>\n
\"We present a framework to automatically detect and localise tumours as small as 100 100 pixels in gigapixel microscopy images sized 100,000100,000 pixels. <\/p>\n
\"Our method leverages a convolutional neural network (CNN) architecture and obtains state-of-the-art results on the Camelyon16 dataset in the challenging lesion-level tumour detection task.\" <\/p>\n
Such high-level image recognition was first developed for Google's driverless car program, in order to help the vehicles scan for road obstructions. <\/p>\n
Now the company has adapted it for the medical field and says it's more accurate than regular human doctors: <\/p>\n
\"At 8 false positives per image, we detect 92.4% of the tumours, relative to 82.7% by the previous best automated approach. For comparison, a human pathologist attempting exhaustive search achieved 73.2% sensitivity.\" <\/p>\n
Despite this, it's unlikely to replace human pathologists just yet. The software only looks for one thing - cancerous tissue - and is not able to pick up any irregularities that a human doctor could spot. <\/p>\n
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