A. Zuraw

Performance of a deep learning-based convolutional neural network for quantification of outer retina atrophy compared with in vivo imaging and manual histologic scoring.

The efficacy of candidate drugs for neuroprotection is tested in rodent models of retinal atrophy where light-induced outer retinal atrophy (ORA) is quantified by manual or semi-automated measurements, analyses that are time-consuming and error-prone. We developed a quantitative, automated image analysis-based method o...