Cover Image

Enhancing Diabetic Retinopathy Classification Accuracy through Dual Attention Mechanism in Deep Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hannan, Abdul, Mahmood, Zahid, Qureshi, Rizwan, Ali, Hazrat
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Novel Preprocessing Unit for Effective Deep Learning based Classification and Grading of Diabetic Retinopathy
by: Nage, Pranoti, et al.
Published: (2025)

Uncertainty-Aware Ordinal Deep Learning for cross-Dataset Diabetic Retinopathy Grading
by: Bellaj, Ali El, et al.
Published: (2026)

Federated Learning for Diabetic Retinopathy Diagnosis: Enhancing Accuracy and Generalizability in Under-Resourced Regions
by: Raj, Gajan Mohan, et al.
Published: (2024)

Detection and Classification of Diabetic Retinopathy using Deep Learning Algorithms for Segmentation to Facilitate Referral Recommendation for Test and Treatment Prediction
by: H, Manoj S, et al.
Published: (2024)

Dual Branch Deep Learning Network for Detection and Stage Grading of Diabetic Retinopathy
by: Shakibania, Hossein, et al.
Published: (2023)

Deep Learning Innovations in Diagnosing Diabetic Retinopathy: The Potential of Transfer Learning and the DiaCNN Model
by: Shoaib, Mohamed R., et al.
Published: (2024)

Temporal-Enhanced Interpretable Multi-Modal Prognosis and Risk Stratification Framework for Diabetic Retinopathy (TIMM-ProRS)
by: Kar, Susmita, et al.
Published: (2026)

Divergent Domains, Convergent Grading: Enhancing Generalization in Diabetic Retinopathy Grading
by: Chokuwa, Sharon, et al.
Published: (2024)

Two-stage Deep Denoising with Self-guided Noise Attention for Multimodal Medical Images
by: Sharif, S M A, et al.
Published: (2025)

Local-to-Global Self-Supervised Representation Learning for Diabetic Retinopathy Grading
by: Hajighasemlou, Mostafa, et al.
Published: (2024)

Enhancing Safety in Diabetic Retinopathy Detection: Uncertainty-Aware Deep Learning Models with Rejection Capabilities
by: Ramalingam, Madhushan, et al.
Published: (2025)

Attention-Enhanced Deep Learning Ensemble for Breast Density Classification in Mammography
by: Sharifian, Peyman, et al.
Published: (2025)

Managing Diabetic Retinopathy with Deep Learning: A Data Centric Overview
by: Dey, Shramana, et al.
Published: (2026)

Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging
by: Wang, Meng, et al.
Published: (2023)

A Comparative Study of Filters and Deep Learning Models to predict Diabetic Retinopathy
by: Muddaluru, Roshan Vasu, et al.
Published: (2023)

Optical Coherence Tomography Angiography-OCTA dataset for the study of Diabetic Retinopathy
by: Bidwai, Pooja, et al.
Published: (2024)

Deploying and Evaluating Multiple Deep Learning Models on Edge Devices for Diabetic Retinopathy Detection
by: Asare, Akwasi, et al.
Published: (2025)

Research on Improving the High Precision and Lightweight Diabetic Retinopathy Detection of YOLOv8n
by: Yuhuan, Fei, et al.
Published: (2025)

Dual Attention Model with Reinforcement Learning for Classification of Histology Whole-Slide Images
by: Raza, Manahil, et al.
Published: (2023)

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer
by: Shaik, Abdul Samad, et al.
Published: (2025)

Brain Tumor Classification using Vision Transformer with Selective Cross-Attention Mechanism and Feature Calibration
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2024)

AI-Driven Diabetic Retinopathy Screening: Multicentric Validation of AIDRSS in India
by: Dey, Amit Kr, et al.
Published: (2025)

Cross Feature Fusion of Fundus Image and Generated Lesion Map for Referable Diabetic Retinopathy Classification
by: Mok, Dahyun, et al.
Published: (2024)

Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-Widefield Fundus Imaging
by: Zhang, Philippe, et al.
Published: (2024)

DISCOVER: 2-D Multiview Summarization of Optical Coherence Tomography Angiography for Automatic Diabetic Retinopathy Diagnosis
by: Daho, Mostafa El Habib, et al.
Published: (2024)

Wavelet-based Global-Local Interaction Network with Cross-Attention for Multi-View Diabetic Retinopathy Detection
by: Hu, Yongting, et al.
Published: (2025)

Deep Perceptual Enhancement for Medical Image Analysis
by: Sharif, S M A, et al.
Published: (2025)

Enhancing Early Diabetic Retinopathy Detection through Synthetic DR1 Image Generation: A StyleGAN3 Approach
by: Das, Sagarnil, et al.
Published: (2025)

Deep Learning for Lung Disease Classification Using Transfer Learning and a Customized CNN Architecture with Attention
by: Liu, Xiaoyi, et al.
Published: (2024)

Context-Aware Asymmetric Ensembling for Interpretable Retinopathy of Prematurity Screening via Active Query and Vascular Attention
by: Hassan, Md. Mehedi, et al.
Published: (2026)

Diabetic Retinopathy Detection Using CNN with Residual Block with DCGAN
by: Aronno, Debjany Ghosh, et al.
Published: (2025)

Depth Attention for Robust RGB Tracking
by: Liu, Yu, et al.
Published: (2024)

Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative Study
by: Eskandari, Sania, et al.
Published: (2024)

DarkDeblur: Learning single-shot image deblurring in low-light condition
by: Sharif, S M A, et al.
Published: (2025)

Leveraging Depth Maps and Attention Mechanisms for Enhanced Image Inpainting
by: Park, Jin Hyun, et al.
Published: (2025)

SKIPNet: Spatial Attention Skip Connections for Enhanced Brain Tumor Classification
by: Mendiratta, Khush, et al.
Published: (2024)

Low-Rank Adaptive Structural Priors for Generalizable Diabetic Retinopathy Grading
by: Wang, Yunxuan, et al.
Published: (2025)

Cross-Fundus Transformer for Multi-modal Diabetic Retinopathy Grading with Cataract
by: Xiao, Fan, et al.
Published: (2024)

From Attention to Frequency: Integration of Vision Transformer and FFT-ReLU for Enhanced Image Deblurring
by: Mahmud, Syed Mumtahin, et al.
Published: (2025)

Efficient Leaf Disease Classification and Segmentation using Midpoint Normalization Technique and Attention Mechanism
by: Taufik, Enam Ahmed, et al.
Published: (2025)