Diabetic Retinopathy Classification Using a Hybrid Deep Learning and Machine Learning Model
نویسندگان
1 M.Sc. Student of Artificial Intelligence and Robotics, Faculty of Engineering, Department of Computer Engineering, Meybod University, Meybod, Iran.
2 Associate Professor, Faculty of Engineering, Department of Computer Engineering, Meybod University, Meybod, Iran.
3 Assistant Professor, Faculty of Engineering, Department of Computer Engineering, Meybod University, Meybod, Iran.
doi
10.18502/ijdo.v18i2.21647چکیده
Objective: Among diabetic patients, diabetic retinopathy (DR) remains one of the most common causes of preventable blindness and vision loss, making its early detection crucial for preventing irreversible complications. Manual evaluation of fundus photographs is a lengthy process. Additionally, it requires specialized training that is not always available in all clinical settings. Consequently, ...
