:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Dey, Amit Kr, Walia, Pradeep, Somvanshi, Girish, Ali, Abrar, Das, Sagarnil, Paul, Pallabi, Ghosh, Minakhi
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2501.05826
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

MAPLES-DR: MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy
by: Lepetit-Aimon, Gabriel, et al.
Published: (2024)

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

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

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

Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification
by: Qu, Liang, et al.
Published: (2024)

DRetNet: A Novel Deep Learning Framework for Diabetic Retinopathy Diagnosis
by: Okuwobi, Idowu Paul, et al.
Published: (2025)

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

Enhancing Diabetic Retinopathy Classification Accuracy through Dual Attention Mechanism in Deep Learning
by: Hannan, Abdul, et al.
Published: (2025)

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

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

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

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

FQPDR: Federated Quantum Neural Network for Privacy-preserving Early Detection of Diabetic Retinopathy
by: De, Debashis, et al.
Published: (2026)

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)

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

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

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

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

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

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

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

Transforming Single Photon Camera Images to Color High Dynamic Range Images
by: Sharma, Sumit, 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)

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)

ArteryX: Advancing Brain Artery Feature Extraction with Vessel-Fused Networks and a Robust Validation Framework
by: Faiyaz, Abrar, et al.
Published: (2025)

Are Vision xLSTM Embedded UNet More Reliable in Medical 3D Image Segmentation?
by: Dutta, Pallabi, 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)

Cross Feature Fusion of Fundus Image and Generated Lesion Map for Referable Diabetic Retinopathy Classification
by: Mok, Dahyun, 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)

Threshold-Based Automated Pest Detection System for Sustainable Agriculture
by: Li, Tianle, 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)

Enhancing Diabetic Retinopathy Diagnosis: A Lightweight CNN Architecture for Efficient Exudate Detection in Retinal Fundus Images
by: Alif, Mujadded Al Rabbani
Published: (2024)

Enhancing Diabetic Retinopathy Detection with CNN-Based Models: A Comparative Study of UNET and Stacked UNET Architectures
by: Uppina, Ameya, et al.
Published: (2024)

Cross-Modal Semantic-Enhanced Diffusion Framework for Diabetic Retinopathy Grading
by: Wang, Yiqun
Published: (2026)

nnMobileNet: Rethinking CNN for Retinopathy Research
by: Zhu, Wenhui, et al.
Published: (2023)

Unmasking Parkinson's Disease with Smile: An AI-enabled Screening Framework
by: Adnan, Tariq, et al.
Published: (2023)

UWF-RI2FA: Generating Multi-frame Ultrawide-field Fluorescein Angiography from Ultrawide-field Retinal Imaging Improves Diabetic Retinopathy Stratification
by: Chen, Ruoyu, et al.
Published: (2024)