Diabetic Retinopathy Detection Using DL-Based Feature Extraction and a Hybrid Attention-Based Stacking Ensemble
Diabetic retinopathy (DR) poses a significant threat to vision if left undetected and untreated. This paper addresses this challenge by utilizing advanced deep learning (DL) algorithms with established image processing techniques to enhance accuracy and efficiency in detection. Image processing extr...
Saved in:
| Main Authors: | Sanjana Rajeshwar, Shreya Thaplyal, Anbarasi M., Siva Shanmugam G. |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | Advances in Public Health |
| Online Access: | http://dx.doi.org/10.1155/adph/8863096 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Novel Stacking Heterogeneous Ensemble Model with Hybrid Wrapper-Based Feature Selection for Reservoir Productivity Predictions
by: Changlin Zhou, et al.
Published: (2021-01-01) -
A stacked ensemble approach to detect cyber attacks based on feature selection techniques
by: Wahida Ferdose Urmi, et al.
Published: (2024-01-01) -
Motor Imagery EEG Classification Based on Multi-Domain Feature Rotation and Stacking Ensemble
by: Xianglong Zhu, et al.
Published: (2025-01-01) -
Achieving Excellence in Cyber Fraud Detection: A Hybrid ML+DL Ensemble Approach for Credit Cards
by: Eyad Btoush, et al.
Published: (2025-01-01) -
Improved Liquefaction Hazard Assessment via Deep Feature Extraction and Stacked Ensemble Learning on Microtremor Data
by: Oussama Arab, et al.
Published: (2025-06-01)