Image recognition is of course one of the tasks at which deep learning excels – from Facebook’s facial recognition to Google’s image search, practical examples of it in use are becoming more common by the day.
Although being able to tag pictures of our friends without typing their name, or find amusing images of cats when we want them, may seem trivial use cases, the same technology is quickly advancing to a point where more far-reaching implications are being realized.
In China, lung cancer is the leading cause of death, claiming over 600,000 lives each year, largely due to high levels of air pollution. Radiologists work from CT scan images to hopefully diagnose sufferers at the earliest opportunity. But in a country where there is a serious shortage of qualified doctors, particularly radiologists, this often means they find themselves examining hundreds of images every day. It is incredibly tedious and due to fatigue, mistakes and misdiagnoses are not uncommon.
Following a pilot project working with the Szechwan People’s Hospital, Infervision has now begun working with a number of the country’s top hospitals.
“By then it’s often too late to do anything about it.
“So what we wanted to do is use deep learning to alleviate this huge problem. If we can use it to learn from the past and assist in diagnosing more accurately, we can help solve the problem.”
On – 16 May, 2017 By Bernard Marr