Diabetic Retinopathy Detection and Classification in Fundus Images using Deep Learning
Abstract
Diabetic retinopathy is a retina disease in diabetes patients and can be considered as the primary cause of blindness. Detection signs of diabetic retinopathy early are the best manner to give treatment at a suitable time to avoid or even reduce the ratio of blindness. Manual detection of diabetic retinopathy features is tedious, time-consuming, and requires a high expensive. Therefore, the main aims of this work to develop a fast and efficient detection and classification model for diabetic retinopathy based on deep learning using fundus images
A master’s thesis is discussed in College of science, University of Baghdad, about the biostratigraphy and depositional environmental of Yamama formation in Faihaa oil field southern Iraq
In the College of science, University of Baghdad, a master’s thesis was discussed, tagged “Biostratigraphy and Depositional Environmental of Yamama Formation in Faihaa Oil Field Southern Iraq” by the research student Maryam Mohammad Taha and presented to the Geology Department under the supervision by Dr. Salam I.
