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A research paper by Professor Dr. Nidhal Khdhair Al-Abbadi has been published in the scientific journal Journal of Iraqi Al-Khwarizmi (JIKh) titled: "Two Stages Approach for Detection and Classification of Retinal Images Using Deep Neural Network and Deep-wavelet" The paper addresses the early diagnosis of retinal diseases, which are a major cause of vision loss globally. The research focuses on using the geometric features of retinal blood vessels for disease diagnosis. The proposed method consists of two stages for the classification and detection of eye diseases using Convolutional Neural Networks (CNN) and geometric analysis of blood vessels. The first stage involves detecting the presence of any disease, while the second stage uses two datasets to classify four eye-related diseases by applying Deep Wavelet as a feature extraction technique. The results indicate that this approach is effective and achieves good results compared to other methods.