Thursday, 27 April 2017 07:47

IBM tech detects diabetic retinopathy with 86% accuracy Featured

By

A team of researchers at IBM has used deep learning and visual analytics technology to detect diabetic retinopathy, with 86% accuracy as to the severity of the condition.

The results of the research were presented at the IEEE's International Symposium on Biomedical Imaging in Melbourne last week. The paper was written by a team consisting of Pallab Roy, Ruwan Tennakoon, Khoa Cao, Suman Sedai, Dwarikanath Mahapatra, Stefan Maetschke, and Rahil Garnavi.

Diabetic retinopathy is a leading cause of blindness and affects one in three of the 422 million who suffer from diabetes globally.

Without treatment, it can lead to permanent blindness but early detection and treatment can reduce the risk of blindness by 95%.

There are five recognised levels of diabetic retinopathy: no DR; mild; moderate; severe; and proliferative diabetic retinopathy.

Stages of diabetic retinopathy.

Color-fundus images of diabetic retinopathy: (a) mild, (b) moderate, (c) severe non-proliferative and (d) proliferative.

Dr Joanna Batstone (below, right), vice-president and lab director of IBM Research Australia, told iTWire that the training was a long process, beginning with training the algorithms developed to recognise the right eye from the left eye.

joanna batstoneThis was in order that the technology could recognise the progress of the disease in one eye, and was not misled in the event that an image of the other eye was presented.

Then one had to train the system to identify the optic cup and blood vessels, what normal eye looked like, how to compare a normal eye with one that had a mild form of the disease and one that had a severe form.

Dr Batstone said more than 35,000 images from EyePACS, a Web-based application for exchanging eye-related clinical information, were used for training.

Ophthalmologists were able to identify the disease at various stages with an accuracy rate of 91%, she said, and thus what had been achieved using algorithms was reason for celebration.

Since the technology can quickly and accurately identify both the presence and severity of the disease, it could potentially help doctors and clinicians have a better view of disease progression and determine treatment.

Dr Batstone said while she was unable to give any kind of timeline as to when the technology would be available for widespread use, it was likely to be supplied as a service from the cloud when it was ready.

Since the human eye was the same no matter the ethnicity and geography of an individual, she said that the technology could be used worldwide with no need for anything beyond what was done to get it ready for first use.

IBM has 12 research labs worldwide and Dr Batstone said the Australian lab, which was set up six years ago, had been concentrating on retinal and skin imaging. The lab team had been in place for three or four years.

She said the approach taken by the lab was a multidisciplinary one, and computer experts worked in tandem with clinicians on projects such as this.

No special computing power was needed to train the algorithms, Dr Batstone said, adding that it was all done on ordinary laptops.

Images: courtesy IBM Research Australia.

CHIEF DATA & ANALYTICS OFFICER BRISBANE 2020

26-27 February 2020 | Hilton Brisbane

Connecting the region’s leading data analytics professionals to drive and inspire your future strategy

Leading the data analytics division has never been easy, but now the challenge is on to remain ahead of the competition and reap the massive rewards as a strategic executive.

Do you want to leverage data governance as an enabler?Are you working at driving AI/ML implementation?

Want to stay abreast of data privacy and AI ethics requirements? Are you working hard to push predictive analytics to the limits?

With so much to keep on top of in such a rapidly changing technology space, collaboration is key to success. You don't need to struggle alone, network and share your struggles as well as your tips for success at CDAO Brisbane.

Discover how your peers have tackled the very same issues you face daily. Network with over 140 of your peers and hear from the leading professionals in your industry. Leverage this community of data and analytics enthusiasts to advance your strategy to the next level.

Download the Agenda to find out more

DOWNLOAD NOW!

Sam Varghese

website statistics

Sam Varghese has been writing for iTWire since 2006, a year after the site came into existence. For nearly a decade thereafter, he wrote mostly about free and open source software, based on his own use of this genre of software. Since May 2016, he has been writing across many areas of technology. He has been a journalist for nearly 40 years in India (Indian Express and Deccan Herald), the UAE (Khaleej Times) and Australia (Daily Commercial News (now defunct) and The Age). His personal blog is titled Irregular Expression.

VENDOR NEWS & EVENTS

REVIEWS

Recent Comments