University of Minnesota team is a runner up at the Retinal OCT Fluid Challenge held in conjunction with the 4th MICCAI Workshop on Ophthalmic Medical Image Analysis in September 2017 in Quebec, Canada. The team comprised Abdolreza Rashno (former pre-doctoral visitor with Prof. Parhi’s research group, and currently with Isfahan University of Technology, Iran), Dr. Dara Koozekanani from the Department of Ophthalmology and Visual Neurosciences, and Prof. Keshab Parhi from ECE.
Retinal pathologies such as fluid accumulation can be imaged using spectral domain optical coherence tomography (SD-OCT). The goal of the Challenge was to compare automated algorithms that can detect and segment various types of fluids on a common dataset of OCT volumes, representing different retinal diseases, acquired using devices from different manufacturers. The Challenge entailed that participants develop and test existing and novel automated retinal OCT segmentation methods. For details on the methods deployed by the University team check IEEE Transactions on Biomedical Engineering.