Saturday, September 23, 2017
Search
  
Submit your own News for
inclusion in our Site.
Click here...
Breaking News
Intel Kills Project Alloy VR Headset
New 4K Apple TV will Only Stream iTunes 4K Content
China-backed Canyon Bridge Buys Imagination for £550 million
iPhone 8 Teardown
Uber Lost License to Operate in London
Globalfoundries Asks EU to Probe TSMC
Facebook to Provide Congress With Ads Linked to Russian Internet Research Agency
Casio Announces Connected Watches For Men's G-SHOCK G-STEEL Line
Active Discussions
Which of these DVD media are the best, most durable?
How to back up a PS2 DL game
Copy a protected DVD?
roxio issues with xp pro
Help make DVDInfoPro better with dvdinfomantis!!!
menu making
Optiarc AD-7260S review
cdrw trouble
 Home > News > General Computing > Google ...
Last 7 Days News : SU MO TU WE TH FR SA All News

Tuesday, November 29, 2016
Google Detects Diabetic Eye Disease With Machine Learning


Diabetic retinopathy - an eye condition that affects people with diabetes - is the fastest growing cause of blindness, and it can be treated if detected early. Google's deep learning algorithm is capable of interpreting signs of DR in retinal photographs.



One of the most common ways to detect diabetic eye disease is to have a specialist examine pictures of the back of the eye and determine whether there are signs of the disease, and if so, how severe it is. While annual screening is recommended for all patients with diabetes, many people live in areas without easy access to specialist care. That means millions of people aren't getting the care they need to prevent loss of vision.

Today, in the Journal of the American Medical Association, Google published a deep learning algorithm capable of interpreting signs of DR in retinal photographs, potentially helping doctors screen more patients, especially in underserved communities with limited resources.

Working with a team of doctors in India and the U.S., Google's team created a dataset of 128,000 images and used them to train a deep neural network to detect diabetic retinopathy. The researchres then compared their algorithm's performance to another set of images examined by a panel of board-certified ophthalmologists. Google says its algorithm performs on par with the ophthalmologists, achieving both high sensitivity and specificity.

There?s a lot more to do before an algorithm like this can be used widely. For example, interpretation of a 2D retinal photograph is only one step in the process of diagnosing diabetic eye disease - in some cases, doctors use a 3D imaging technology to examine various layers of a retina in detail. Google's colleagues at DeepMind are working on applying machine learning to that method. In the future, these two complementary methods might be used together to assist doctors in the diagnosis of a wide spectrum of eye diseases.



Previous
Next
Facebook Brings Games To Messenger        All News        Nintendo To Work With Universal To Create Highly Themed Parks In Japan The The U.S.
Intel Teams Up With Delphi and Mobileye for Self-Driving Cars     General Computing News      Imagination And DENSO Are Teaming Up On Automotive

Get RSS feed Easy Print E-Mail this Message

Related News
Google Officially Acquires Part of HTC's Smartphone Team
Google to Launch Pixel 2 Smartphone October 4
Consumer Watchdog Accuses Google of Manipulating Search Results to Defend Law that Enables Sex Trafficking
Google Appeals Against EU Anti-trust Fine, Facebook Fined 1.2 Million Euros
European Governments Want to Tax Digital Giants' Revenues
Google to Detail Titan Security Chip for Cloud Services
Google Home Now Supports Free Calls
Google is Getting Ready For New European Data Protection Rules With Privacy Website
Google Fires Employee Over Anti-diversity Memo
Google is Developing technology for Snapchat-like media Content
Machine Learning Could Identify What You Are Typing On Skype By Recognizing Your Keyboard's Clicks
Google Adds SOS Alerts to Search and Maps

Most Popular News
 
Home | News | All News | Reviews | Articles | Guides | Download | Expert Area | Forum | Site Info
Site best viewed at 1024x768+ - CDRINFO.COM 1998-2017 - All rights reserved -
Privacy policy - Contact Us .