The master’s thesis of student Raghad Hassan Aboud was discussed at the Institute of Informatics for Post Graduate Studies at the University of Information Technology and Communications.

The thesis was in the field of computer science and was titled “Lightweight Deep Learning Model for Retinopathy Classification”

The thesis presents a multi-classification system for diabetic retinopathy images which is based on the implementation of a convolutional neural network and three deep learning models VGG-19, DensenNet-121 and EfficientNet-B6 with three optimization methodologies of pruning improvement, quantity awareness and weight pooling to produce an efficient and lightweight model that can maintain classification accuracy and can be deployed in resource-constrained environments.

After extensive discussion by the members of the discussion committee on the thesis topic, the thesis was accepted with a rating of very good.