Cover Image

Stage Aware Diagnosis of Diabetic Retinopathy via Ordinal Regression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kumar, Saksham, Aditya, D Sridhar, Kumar, T Likhil, Bikku, Thulasi, Thota, Srinivasarao, Kumar, Chandan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DeiTFake: Deepfake Detection Model using DeiT Multi-Stage Training
by: Kumar, Saksham, et al.
Published: (2025)

Supervised Multilabel Image Classification Using Residual Networks with Probabilistic Reasoning
by: Singh, Lokender, et al.
Published: (2025)

Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading
by: Yu, Qinkai, et al.
Published: (2025)

Directed Ordinal Diffusion Regularization for Progression-Aware Diabetic Retinopathy Grading
by: Chen, Huangwei, et al.
Published: (2026)

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

Robust Diabetic Retinopathy Grading Using Dual-Resolution Attention-Based Deep Learning with Ordinal Regression
by: Hashmi, Afshan
Published: (2026)

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

From Motion to Prevention: A TimeGAN‐Enhanced Hybrid BiLSTM‐CNN‐Attention Model for Predicting Falls and Preventive Interventions
by: Badrinath N, et al.
Published: (2026)

Diabetic Retinopathy Classification using Downscaling Algorithms and Deep Learning
by: Doshi, Nishi, et al.
Published: (2026)

XDR-LVLM: An Explainable Vision-Language Large Model for Diabetic Retinopathy Diagnosis
by: Ito, Masato, et al.
Published: (2025)

Combating Digitally Altered Images: Deepfake Detection
by: Kumar, Saksham, et al.
Published: (2025)

MultiRetNet: A Multimodal Vision Model and Deferral System for Staging Diabetic Retinopathy
by: She, Jeannie, et al.
Published: (2025)

PerceptronCARE: A Deep Learning-Based Intelligent Teleophthalmology Application for Diabetic Retinopathy Diagnosis
by: Asare, Akwasi, et al.
Published: (2025)

TWLR: Text-Guided Weakly-Supervised Lesion Localization and Severity Regression for Explainable Diabetic Retinopathy Grading
by: Luo, Xi, et al.
Published: (2025)

AI-Driven Diabetic Retinopathy Diagnosis Enhancement through Image Processing and Salp Swarm Algorithm-Optimized Ensemble Network
by: Khan, Saif Ur Rehman, et al.
Published: (2025)

Calibration of Ordinal Regression Networks
by: Kim, Daehwan, et al.
Published: (2024)

Diabetic Retinopathy Lesion Segmentation through Attention Mechanisms
by: Jithesh, Aruna, et al.
Published: (2026)

Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations
by: Xia, Peng, et al.
Published: (2024)

Adversarial Exposure Attack on Diabetic Retinopathy Imagery Grading
by: Cheng, Yupeng, et al.
Published: (2020)

Diabetic Retinopathy Grading with CLIP-based Ranking-Aware Adaptation:A Comparative Study on Fundus Image
by: Cho, Sungjun
Published: (2026)

A Survey on Ordinal Regression: Applications, Advances and Prospects
by: Wang, Jinhong, et al.
Published: (2025)

Going Down Memory Lane: Scaling Tokens for Video Stream Understanding with Dynamic KV-Cache Memory
by: Agarwal, Vatsal, et al.
Published: (2026)

Beyond CLIP: Knowledge-Enhanced Multimodal Transformers for Cross-Modal Alignment in Diabetic Retinopathy Diagnosis
by: Samanta, Argha Kamal, et al.
Published: (2025)

Designing Concise ConvNets with Columnar Stages
by: Kumar, Ashish, et al.
Published: (2024)

Stable-Drift: A Patient-Aware Latent Drift Replay Method for Stabilizing Representations in Continual Learning
by: Theofilou, Paraskevi-Antonia, et al.
Published: (2025)

Weakly Supervised Patch Annotation for Improved Screening of Diabetic Retinopathy
by: Dey, Shramana, et al.
Published: (2026)

Symmetric Perception and Ordinal Regression for Detecting Scoliosis Natural Image
by: Zhu, Xiaojia, et al.
Published: (2024)

Lesion Elevation Prediction from Skin Images Improves Diagnosis
by: Abhishek, Kumar, et al.
Published: (2024)

SparrowVQE: Visual Question Explanation for Course Content Understanding
by: Li, Jialu, et al.
Published: (2024)

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

Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data
by: Su, Wenxin, et al.
Published: (2024)

Learning to Fuse and Reconstruct Multi-View Graphs for Diabetic Retinopathy Grading
by: Li, Haoran, et al.
Published: (2026)

Triple-Stream Deep Feature Selection with Metaheuristic Optimization and Machine Learning for Multi-Stage Hypertensive Retinopathy Diagnosis
by: Suyun, Suleyman Burcin, et al.
Published: (2025)

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

Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regression
by: Dong, Chunlai, et al.
Published: (2025)

Enhancing Pneumonia Diagnosis and Severity Assessment through Deep Learning: A Comprehensive Approach Integrating CNN Classification and Infection Segmentation
by: Mallidi, S Kumar Reddy
Published: (2025)

EquiCaps: Predictor-Free Pose-Aware Pre-Trained Capsule Networks
by: Konstantinou, Athinoulla, et al.
Published: (2025)

SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading
by: Huang, Yijin, et al.
Published: (2022)

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

Pose2Gest: A Few-Shot Model-Free Approach Applied In South Indian Classical Dance Gesture Recognition
by: Raju, Kavitha, et al.
Published: (2024)