Type at least 1 character to search
Back to top

Cataract detection using Image Processing

Year: 2016
Tags: Medical, Image Processing


Eye Cataract is a common disease, which starts developing from a young age and often remains undiagnosed because of expensive equipment. Moreover, it is important to track the spread of Cataract over the span of the patient’s lifetime. This project circumvents the use of expensive equipment and need for regular checkups for Cataract patients. Smartphone cameras have incrementally provided us access to high resolution images with lower costs. We brought together healthy and cataract suffering images of an eye and trained a deep neural model that could detect and quantify the spread of this disease. This project was featured in ITU Telecom World 2016