Deep Neural Network Classifier for Analysis of the Debrecen Diabetic Retinopathy Dataset
Diabetic retinopathy (DR) is a serious complication that can occur in individuals who have diabetes. This disease affects the blood vessels in the retina, a part of the eye that is important for vision. Early detection of DR is key to preventing further complications and saving the patient’s vision....
Saved in:
| Main Authors: | Cucu Ika Agustyaningrum, Haryani Haryani, Agus Junaidi, Iwan Fadilah |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Indonesian Institute of Sciences
2024-12-01
|
| Series: | Jurnal Elektronika dan Telekomunikasi |
| Subjects: | |
| Online Access: | https://www.jurnalet.com/jet/article/view/640 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Classification of diabetic retinopathy stages based on neural networks
by: M. M. Lukashevich, et al.
Published: (2022-12-01) -
Effective Diabetic Retinopathy Classification With Siamese Neural Network: A Strategy for Small Dataset Challenges
by: Maria Tariq, et al.
Published: (2024-01-01) -
A deep learning based model for diabetic retinopathy grading
by: Samia Akhtar, et al.
Published: (2025-01-01) -
Classification of Diabetic Retinopathy Based on Efficient Computational Modeling
by: Jiao Xue, et al.
Published: (2024-12-01) -
Predicting diabetic retinopathy stage using Siamese Convolutional Neural Network
by: M. S. Santos, et al.
Published: (2024-12-01)