Image de couverture de livre

From Pixels to Explanations: Interpretable Diabetic Retinopathy Grading with CNN-Transformer Ensembles, Visual Explainability and Vision-Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Khokhar, Pir Bakhsh, Gravino, Carmine, Palomba, Fabio, Yayilgan, Sule Yildirim, Shaikh, Sarang
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Transformer-Based Multi-Modal Temporal Embeddings for Explainable Metabolic Phenotyping in Type 1 Diabetes
par: Khokhar, Pir Bakhsh, et autres
Publié: (2026)

Advances in Artificial Intelligence forDiabetes Prediction: Insights from a Systematic Literature Review
par: Khokhar, Pir Bakhsh, et autres
Publié: (2024)

Towards Transparent and Accurate Diabetes Prediction Using Machine Learning and Explainable Artificial Intelligence
par: Khokhar, Pir Bakhsh, et autres
Publié: (2025)

On the Impact of 3D Visualization of Repository Metrics in Software Engineering Education
par: Di Dario, Dario, et autres
Publié: (2024)

RECOVER: Toward Requirements Generation from Stakeholders' Conversations
par: Voria, Gianmario, et autres
Publié: (2024)

Integrating Non-Linear Radon Transformation for Diabetic Retinopathy Grading
par: Mohsen, Farida, et autres
Publié: (2025)

A Hybrid Framework Bridging CNN and ViT based on Theory of Evidence for Diabetic Retinopathy Grading
par: Qiu, Junlai, et autres
Publié: (2025)

Clinically Aligned AI for Diabetic Retinopathy: Interpretable Grading Based on Lesion Segmentation
par: Nabil Hezil, et autres
Publié: (2026)

Cross-Fundus Transformer for Multi-modal Diabetic Retinopathy Grading with Cataract
par: Xiao, Fan, et autres
Publié: (2024)

SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading
par: Huang, Yijin, et autres
Publié: (2022)

XDR-LVLM: An Explainable Vision-Language Large Model for Diabetic Retinopathy Diagnosis
par: Ito, Masato, et autres
Publié: (2025)

Do we really ponder about necessity of intravenous hydration in acute bronchiolitis?
par: Sule Yıldırım
Publié: (2016)

Divergent Domains, Convergent Grading: Enhancing Generalization in Diabetic Retinopathy Grading
par: Chokuwa, Sharon, et autres
Publié: (2024)

Advancing Computer‐Assisted Diabetic Retinopathy Grading: A Super Learner Ensemble Technique for Fundus Imagery
par: Mili Rosline Mathews, et autres
Publié: (2025)

TWLR: Text-Guided Weakly-Supervised Lesion Localization and Severity Regression for Explainable Diabetic Retinopathy Grading
par: Luo, Xi, et autres
Publié: (2025)

From Retinal Pixels to Patients: Evolution of Deep Learning Research in Diabetic Retinopathy Screening
par: Chopra, Muskaan, et autres
Publié: (2025)

Adversarial Exposure Attack on Diabetic Retinopathy Imagery Grading
par: Cheng, Yupeng, et autres
Publié: (2020)

Looking into Concept Explanation Methods for Diabetic Retinopathy Classification
par: Storås, Andrea M., et autres
Publié: (2024)

Diabetic Retinopathy Detection Using CNN with Residual Block with DCGAN
par: Aronno, Debjany Ghosh, et autres
Publié: (2025)

Balancing Accuracy and Efficiency: CNN Fusion Models for Diabetic Retinopathy Screening
par: Islam, Md Rafid, et autres
Publié: (2025)

Explainable Fundus Image Curation and Lesion Detection in Diabetic Retinopathy
par: Mihai, Anca, et autres
Publié: (2025)

Low-Rank Adaptive Structural Priors for Generalizable Diabetic Retinopathy Grading
par: Wang, Yunxuan, et autres
Publié: (2025)

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

Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data
par: Su, Wenxin, et autres
Publié: (2024)

Learning to Fuse and Reconstruct Multi-View Graphs for Diabetic Retinopathy Grading
par: Li, Haoran, et autres
Publié: (2026)

Directed Ordinal Diffusion Regularization for Progression-Aware Diabetic Retinopathy Grading
par: Chen, Huangwei, et autres
Publié: (2026)

Local-to-Global Self-Supervised Representation Learning for Diabetic Retinopathy Grading
par: Hajighasemlou, Mostafa, et autres
Publié: (2024)

A Hybrid CNN–GRU Approach for Robust and Explainable Remaining Useful Life Prediction of Turbofan Engines
par: Yıldırım Özüpak
Publié: (2026)

Explainable AI for Diabetic Retinopathy Detection Using Deep Learning with Attention Mechanisms and Fuzzy Logic-Based Interpretability
par: Karthik, Abishek, et autres
Publié: (2025)

Predicting Diabetic Retinopathy Using a Two-Level Ensemble Model
par: Mahmoudi, Mahyar, et autres
Publié: (2025)

Single Domain Generalization in Diabetic Retinopathy: A Neuro-Symbolic Learning Approach
par: Urooj, Midhat, et autres
Publié: (2025)

CNN-Enabled Scheduling for Probabilistic Real-Time Guarantees in Industrial URLLC
par: Alqudah, Eman, et autres
Publié: (2025)

Parameterized Diffusion Optimization enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading
par: Yu, Qinkai, et autres
Publié: (2025)

Uncertainty-Aware Ordinal Deep Learning for cross-Dataset Diabetic Retinopathy Grading
par: Bellaj, Ali El, et autres
Publié: (2026)

Dual Branch Deep Learning Network for Detection and Stage Grading of Diabetic Retinopathy
par: Shakibania, Hossein, et autres
Publié: (2023)

From Feature Importance to Natural Language Explanations Using LLMs with RAG
par: Tekkesinoglu, Sule, et autres
Publié: (2024)

From Explainability to Interpretability: Interpretable Policies in Reinforcement Learning Via Model Explanation
par: Li, Peilang, et autres
Publié: (2025)

From Explanations to Architecture: Explainability-Driven CNN Refinement for Brain Tumor Classification in MRI
par: Gupta, Rajan Das, et autres
Publié: (2025)

MAPLES-DR: MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy
par: Lepetit-Aimon, Gabriel, et autres
Publié: (2024)

CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting
par: Yu, Qinkai, et autres
Publié: (2024)