Doheny Eye Image Analysis Laboratory
Ophthalmic images encode rich information about eye structures and eye diseases. One of our research interests at DIAL is to utilize the cutting-edge technology in artificial intelligence, machine learning, deep learning, and computer vision to advance the fields of automated screening and classification, novel biomarkers’ discovery, quantitative prediction of progressive growth, and image segmentation and registration on 2D and 3D images with various eye diseases, e.g. age-related macular degeneration, juvenile macular degeneration (also called Stargardt disease), glaucoma, diabetic retinopathy, and laser-induced retinal injury.
Another interest at DIAL is the development of advanced graphical user interface software grading tools with the functionalities of image data management, conversion, visualization, annotation, and analysis to support clinical trials and clinical research.