Development of a deep learning model to detect crystalline retinopathy

This study was conducted using a publicly accessible FP database obtained from a previous study perfromed by Cen and additional anonymized FP data. Additional retinal image datasets were extracted from Google Images and Google search engine by searching for following keywords: crystalline retinopathy, talc retinopathy, and retinal crystal deposit. In this study, we aimed of building a deep learning model to detect crystalline retinopathy in FP images.