مشروع البحث: DEVELOPMENT OF NEURAL NETWORK ALGORITHMS FOR AUTOMATION OF EARLY DIAGNOSIS OF EYES DISEASES
| dc.contributor.advisor | Prof. Dr. Nenad Kopar | |
| dc.date.accessioned | 2025-08-26T07:00:29Z | |
| dc.date.available | 2025-08-26T07:00:29Z | |
| dc.description | In this work, we implement and build Eye Diseases Expert System based on convolutional neural network to detects and diagnoses of eye diseases. Two models have been implemented to create Expert System. The first model called GMD model based on multi-label classification and Grad-Cam techniques. The second model is GMDS model also based on multi-label classification and segmentation techniques (U-Net). In addition, we applied additional techniques to improve the accuracy, avoid overfitting, overconfidence, and speed up the training models. | |
| dc.description.abstract | Eyes diseases include Glaucoma, Myopia and Diabetic retinopathy are very serious health problems in the life of people. Timely, early diagnosis of these diseases is very important to avoid blindness. There are many methods have been developed for this purpose. Deep learning is the most technology in 21century and it gives more information about how computers can understand data and learning from. In deep learning, networks of artificial neurons analyse large dataset to automatically discover patterns. | |
| dc.identifier | 681 | |
| dc.identifier.uri | https://dspace.academy.edu.ly/handle/123456789/1728 | |
| dc.subject | EYES DISEASES | |
| dc.title | DEVELOPMENT OF NEURAL NETWORK ALGORITHMS FOR AUTOMATION OF EARLY DIAGNOSIS OF EYES DISEASES | |
| dspace.entity.type | Project | |
| project.endDate | 2024 | |
| project.funder.name | علوم الحاسوب | |
| project.investigator | محمود محمد صميدة | |
| project.startDate | 2023 | |
| relation.isOrgUnitOfProject | 784d19bf-029a-47b8-b883-c9daefb34588 | |
| relation.isOrgUnitOfProject.latestForDiscovery | 784d19bf-029a-47b8-b883-c9daefb34588 |