SELENA+ is an intelligent deep learning system (DLS) designed to perform automated image analysis for diabetic eye diseases. DLS, a breakthrough machine learning technology, utilizes representation-learning methods with multiple levels of representation to process natural data in their raw form, recognizing the intricate structures in high-dimensional data.
DLS develops from previous machine learning technology using “feature-based” and “pattern recognition” techniques. SELENA+ ‘learns’ from experience like a human brain so it is critical to have a large input data to enable the mining and extraction of meaningful patterns or features via the convolutional neural network (CNN) – to build a dictionary or an encyclopaedia. In other words, the greater amount of “training” SELENA+ goes through, the more accurate it becomes.
SELENA+’s excellent image processing capabilities was developed and originally trained on anonymised retinal images acquired from diabetic patients who attended the Singapore Integrated Diabetic Retinopathy Programme (SIDRP) over 10 years. Subsequently, a multi-centre global collaborative effort involving more than 10 centres such as Mexico, United Kingdom, New Zealand, Australia, United States, China and Thailand was conducted to validate the program. No other AI software in the world can claim to have undergone the same stringent validation process.
Read about The Deep Eye Study in December 2017 Journal of the American Medical Assosciation.
Test measurements as published in The Journal of the American Medical Association (12 Dec 2017) shows very promising and consistent results at over 90% sensitivity and specificity in detecting referable DR and over 95% for vision-threatening DR. The repeatability (same image tested twice) and negative predictive value were 100% and more than 99%, respectively.
Receiver Operating Characteristic Curve and Area Under the Curve of the DLS for Detection of Referable Diabetic Retinopathy and Vision-Threatening Diabetic Retinopathy in the Singapore National Diabetic Retinopathy Screening Program (SIDRP 2014-2015: Primary Validation Dataset). Compared with Professional Graders Performance, with Retinal Specialists' Grading as Reference Standard
This has proven that SELENA+ with its DLS is a reliable and accurate tool that can consistently provide a timely and cost effective strategy to assess retina images from DR screening programs.