RetinoGO is an image processing app that can detect and grade diabetic retinopathy severity from fundus image.
RetinoGO main goal is to be portable and non-invasive system that enables ophthalmologists to perform mass screening and retinal photography in rural areas and remote locations for early detection of diabetic retinopathy.
Diabetic retinopathy is a retinopathy (damage to retina) due to diabetes, which could eventually lead to blindness.
RetinoGO was developed at Centre for Intelligent Signal and Imaging Research (CISIR) in UNIVERSITI TEKNOLOGI PETRONAS (UTP) under the HICoE grant from the Ministry of Higher Education of Malaysia.
RetinoGO is released for FREE during this BETA phase to gather feedback and comments in order to keep improving.
All of the image processing is done on our own dedicated cloud.
Our image processing algorithm was designed to measure or grade the diabetic retinopathy from the Foveal Avascular Zone (FAZ). Make sure you TAP on the FAZ area before submitting to our cloud for processing.
Sample fundus images for testing can be found here http://hpcservice.utp.edu.my/retino/sample/
For easy navigation, you should store this images inside your mobile phone folder \Pictures\RetinoGO
Privacy: This app does not share, store or transmit any user personal data to any 3rd parties. RetinoGO only stores fundus images and analytics from the image processing algorithm.
Disclaimer: We will not be held responsible for any type of damages from the usage of this app.