Cover Image

Diabetic Retinopathy Detection Using Quantum Transfer Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jain, Ankush, Gupta, Rinav, Singhal, Jai
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Single Domain Generalization in Diabetic Retinopathy: A Neuro-Symbolic Learning Approach
by: Urooj, Midhat, et al.
Published: (2025)

Explainable Fundus Image Curation and Lesion Detection in Diabetic Retinopathy
by: Mihai, Anca, et al.
Published: (2025)

Advanced Segmentation of Diabetic Retinopathy Lesions Using DeepLabv3+
by: Boulaabi, Meher, et al.
Published: (2025)

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

Hybrid Deep Learning Framework for Enhanced Diabetic Retinopathy Detection: Integrating Traditional Features with AI-driven Insights
by: Maity, Arpan, et al.
Published: (2025)

Looking into Concept Explanation Methods for Diabetic Retinopathy Classification
by: Storås, Andrea M., et al.
Published: (2024)

Effect of Data Augmentation on Conformal Prediction for Diabetic Retinopathy
by: Ahamed, Rizwan, et al.
Published: (2025)

Exploring Deep Learning and Ultra-Widefield Imaging for Diabetic Retinopathy and Macular Edema
by: Jimenez-Lizcano, Pablo, et al.
Published: (2026)

Detecting Severity of Diabetic Retinopathy from Fundus Images: A Transformer Network-based Review
by: Karkera, Tejas, et al.
Published: (2023)

From Retinal Pixels to Patients: Evolution of Deep Learning Research in Diabetic Retinopathy Screening
by: Chopra, Muskaan, et al.
Published: (2025)

Automated Quantification of Hyperreflective Foci in SD-OCT With Diabetic Retinopathy
by: Okuwobi, Idowu Paul, et al.
Published: (2024)

Integrating Non-Linear Radon Transformation for Diabetic Retinopathy Grading
by: Mohsen, Farida, et al.
Published: (2025)

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

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

Classification of Diabetic Retinopathy using Pre-Trained Deep Learning Models
by: Al-Kamachy, Inas, et al.
Published: (2024)

FastCLIPstyler: Optimisation-free Text-based Image Style Transfer Using Style Representations
by: Suresh, Ananda Padhmanabhan, et al.
Published: (2022)

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

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

Design and Validation of a Responsible Artificial Intelligence-based System for the Referral of Diabetic Retinopathy Patients
by: Moya-Sánchez, E. Ulises, et al.
Published: (2025)

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

Digital Image Forgery Detection Using Transfer Learning
by: Buyuk, Fatma Betul, et al.
Published: (2026)

PatrolVision: Automated License Plate Recognition in the wild
by: Singhal, Anmol Singhal Navya
Published: (2025)

Balancing Accuracy and Efficiency: CNN Fusion Models for Diabetic Retinopathy Screening
by: Islam, Md Rafid, et al.
Published: (2025)

From Pixels to Explanations: Interpretable Diabetic Retinopathy Grading with CNN-Transformer Ensembles, Visual Explainability and Vision-Language Models
by: Khokhar, Pir Bakhsh, et al.
Published: (2026)

Deep Learning Based Wildfire Detection for Peatland Fires Using Transfer Learning
by: Hamdan, Emadeldeen, et al.
Published: (2026)

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

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

Comparative Analysis of Deep Learning Strategies for Hypertensive Retinopathy Detection from Fundus Images: From Scratch and Pre-trained Models
by: Zhu, Yanqiao
Published: (2025)

Selective Diabetic Retinopathy Screening with Accuracy-Weighted Deep Ensembles and Entropy-Guided Abstention
by: Lin, Jophy
Published: (2025)

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

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

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

Detecting Multiple Diseases in Multiple Crops Using Deep Learning
by: Yadav, Vivek, et al.
Published: (2025)

Simulating Clinical AI Assistance using Multimodal LLMs: A Case Study in Diabetic Retinopathy
by: Barakat, Nadim, et al.
Published: (2025)

Discerning the Chaos: Detecting Adversarial Perturbations while Disentangling Intentional from Unintentional Noises
by: Jain, Anubhooti, et al.
Published: (2024)

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

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)

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

Wildfire Detection Using Vision Transformer with the Wildfire Dataset
by: Vuppari, Gowtham Raj, et al.
Published: (2025)

LouvreSAE: Sparse Autoencoders for Interpretable and Controllable Style Transfer
by: Panda, Raina, et al.
Published: (2025)