Retinal image analysis using AI technology
Image analysis for retinal images has been an active subject of research over the last couple of decades. With the popularity of mydriatic and non-mydriatic digital imaging cameras, color fundus photographs have become essential part of standard retinal exam. Advances in image analysis, pattern recognition, and machine learning have opened up a great opportunity to enhance the clinical care available to patients suffering for retinal diseases such as diabetic retinopathy, age related macular degeneration, hypertensive retinopathy, and glaucoma.
RCEENetworks’ Optometry & Ophthalmology software boosts accuracy, efficiency, and patient care for eye care professionals.
RCEENETWORKSTM is developing exciting new technologies to detect various lesions related to retinal diseases such as diabetic retinopathy (DR), age related macular degeneration (ARMD), Glaucoma, Edema – to name a few. RCEENETWORKSTM engineers have deep understanding of image processing theory and have leveraged this experience to create intelligent AI models. In addition, they combine the AI image analysis output with patient’s medical data to increase diagnostic accuracy to the highest level. Watch this space for the release of our next generation imaging analysis system – RetinaWiseAI .
Retinal image analysis using AI technology
