Early Glaucoma Detection using Deep Learning with Multiple Datasets of Fundus Images
Fuente:
arXiv
Saved in:
| Main Authors: | Chowdhury, Rishiraj Paul, Karkera, Nirmit Shekar |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Functional Localization Enforced Deep Anomaly Detection Using Fundus Images
by: Ruhland, Jan Benedikt, et al.
Published: (2025)
by: Ruhland, Jan Benedikt, et al.
Published: (2025)
Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye Fundus Images
by: Galdran, Adrian, et al.
Published: (2024)
by: Galdran, Adrian, et al.
Published: (2024)
Adversarial Machine Learning: Attacking and Safeguarding Image Datasets
by: Chowdhury, Koushik
Published: (2025)
by: Chowdhury, Koushik
Published: (2025)
Detecting Severity of Diabetic Retinopathy from Fundus Images: A Transformer Network-based Review
by: Karkera, Tejas, et al.
Published: (2023)
by: Karkera, Tejas, et al.
Published: (2023)
Retinal Disease Classification from Fundus Images using CNN Transfer Learning
by: Akram, Ali
Published: (2026)
by: Akram, Ali
Published: (2026)
Deep Learning-Based Detection of Referable Diabetic Retinopathy and Macular Edema Using Ultra-Widefield Fundus Imaging
by: Zhang, Philippe, et al.
Published: (2024)
by: Zhang, Philippe, et al.
Published: (2024)
Deep Learning Predicts Prevalent and Incident Parkinson's Disease From UK Biobank Fundus Imaging
by: Tran, Charlie, et al.
Published: (2023)
by: Tran, Charlie, et al.
Published: (2023)
Pooling Image Datasets With Multiple Covariate Shift and Imbalance
by: Chytas, Sotirios Panagiotis, et al.
Published: (2024)
by: Chytas, Sotirios Panagiotis, et al.
Published: (2024)
Real-time Deer Detection and Warning in Connected Vehicles via Thermal Sensing and Deep Learning
by: Puppala, Hemanth, et al.
Published: (2025)
by: Puppala, Hemanth, et al.
Published: (2025)
GONet: A Generalizable Deep Learning Model for Glaucoma Detection
by: Abramovich, Or, et al.
Published: (2025)
by: Abramovich, Or, et al.
Published: (2025)
Hybrid Approach for Enhancing Lesion Segmentation in Fundus Images
by: Eshragh, Mohammadmahdi, et al.
Published: (2025)
by: Eshragh, Mohammadmahdi, et al.
Published: (2025)
Adaptive Feature Fusion Neural Network for Glaucoma Segmentation on Unseen Fundus Images
by: Zhong, Jiyuan, et al.
Published: (2024)
by: Zhong, Jiyuan, et al.
Published: (2024)
Integrating Deep Learning with Fundus and Optical Coherence Tomography for Cardiovascular Disease Prediction
by: Maldonado-Garcia, Cynthia, et al.
Published: (2024)
by: Maldonado-Garcia, Cynthia, et al.
Published: (2024)
Plant Leaf Disease Detection and Classification Using Deep Learning: A Review and A Proposed System on Bangladesh's Perspective
by: Chowdhury, Md. Jalal Uddin, et al.
Published: (2025)
by: Chowdhury, Md. Jalal Uddin, et al.
Published: (2025)
ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Grading
by: Yang, Zhiyuan, et al.
Published: (2024)
by: Yang, Zhiyuan, et al.
Published: (2024)
HyMNet: a Multimodal Deep Learning System for Hypertension Classification using Fundus Photographs and Cardiometabolic Risk Factors
by: Baharoon, Mohammed, et al.
Published: (2023)
by: Baharoon, Mohammed, et al.
Published: (2023)
Towards Interpretable Foundation Models for Retinal Fundus Images
by: Mensah, Samuel Ofosu, et al.
Published: (2026)
by: Mensah, Samuel Ofosu, et al.
Published: (2026)
Extrapolating Prospective Glaucoma Fundus Images through Diffusion Model in Irregular Longitudinal Sequences
by: Zhao, Zhihao, et al.
Published: (2024)
by: Zhao, Zhihao, et al.
Published: (2024)
Walnut Detection Through Deep Learning Enhanced by Multispectral Synthetic Images
by: Fu, Kaiming, et al.
Published: (2023)
by: Fu, Kaiming, et al.
Published: (2023)
Towards Resource-Efficient Streaming of Large-Scale Medical Image Datasets for Deep Learning
by: Kulkarni, Pranav, et al.
Published: (2023)
by: Kulkarni, Pranav, et al.
Published: (2023)
Novel Fundus Image Preprocessing for Retcam Images to Improve Deep Learning Classification of Retinopathy of Prematurity
by: Rahim, Sajid, et al.
Published: (2023)
by: Rahim, Sajid, et al.
Published: (2023)
Object Detection in Thermal Images Using Deep Learning for Unmanned Aerial Vehicles
by: Tu, Minh Dang, et al.
Published: (2024)
by: Tu, Minh Dang, et al.
Published: (2024)
A Study on Real-time Object Detection using Deep Learning
by: Bose, Ankita, et al.
Published: (2026)
by: Bose, Ankita, et al.
Published: (2026)
Honey Adulteration Detection using Hyperspectral Imaging and Machine Learning
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)
Detecting Car Speed using Object Detection and Depth Estimation: A Deep Learning Framework
by: Dasgupta, Subhasis, et al.
Published: (2024)
by: Dasgupta, Subhasis, et al.
Published: (2024)
Diagnosis of Multiple Fundus Disorders Amidst a Scarcity of Medical Experts Via Self-supervised Machine Learning
by: Liu, Yong, et al.
Published: (2024)
by: Liu, Yong, et al.
Published: (2024)
Development and Application of a Sentinel-2 Satellite Imagery Dataset for Deep-Learning Driven Forest Wildfire Detection
by: Martin, Valeria, et al.
Published: (2024)
by: Martin, Valeria, et al.
Published: (2024)
Prominence-Aware Artifact Detection and Dataset for Image Super-Resolution
by: Molodetskikh, Ivan, et al.
Published: (2025)
by: Molodetskikh, Ivan, et al.
Published: (2025)
Enhancing Fundus Image-based Glaucoma Screening via Dynamic Global-Local Feature Integration
by: Zhou, Yuzhuo, et al.
Published: (2025)
by: Zhou, Yuzhuo, et al.
Published: (2025)
Segmentation and Classification of Pap Smear Images for Cervical Cancer Detection Using Deep Learning
by: Albzour, Nisreen, et al.
Published: (2025)
by: Albzour, Nisreen, et al.
Published: (2025)
A Principled Self-Referenced Early Stopping Approach for Deep Image Prior
by: Huang, Chaoyan, et al.
Published: (2026)
by: Huang, Chaoyan, et al.
Published: (2026)
A Real-time Face Mask Detection and Social Distancing System for COVID-19 using Attention-InceptionV3 Model
by: Asif, Abdullah Al, et al.
Published: (2024)
by: Asif, Abdullah Al, et al.
Published: (2024)
Fairness-Aware Fine-Tuning of Vision-Language Models for Medical Glaucoma Diagnosis
by: Gu, Zijian, et al.
Published: (2025)
by: Gu, Zijian, et al.
Published: (2025)
DeepVAT: A Self-Supervised Technique for Cluster Assessment in Image Datasets
by: Mazumder, Alokendu, et al.
Published: (2023)
by: Mazumder, Alokendu, et al.
Published: (2023)
MosquitoFusion: A Multiclass Dataset for Real-Time Detection of Mosquitoes, Swarms, and Breeding Sites Using Deep Learning
by: Sayeedi, Md. Faiyaz Abdullah, et al.
Published: (2024)
by: Sayeedi, Md. Faiyaz Abdullah, et al.
Published: (2024)
Deep Learning to Predict Glaucoma Progression using Structural Changes in the Eye
by: Mandal, Sayan
Published: (2024)
by: Mandal, Sayan
Published: (2024)
Brighteye: Glaucoma Screening with Color Fundus Photographs based on Vision Transformer
by: Lin, Hui, et al.
Published: (2024)
by: Lin, Hui, 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)
by: Alif, Mujadded Al Rabbani
Published: (2024)
Early Detection and Classification of Breast Cancer Using Deep Learning Techniques
by: Labonno, Mst. Mumtahina, et al.
Published: (2025)
by: Labonno, Mst. Mumtahina, et al.
Published: (2025)
Hyperspectral Image Analysis in Single-Modal and Multimodal setting using Deep Learning Techniques
by: Pande, Shivam
Published: (2024)
by: Pande, Shivam
Published: (2024)
Similar Items
-
Functional Localization Enforced Deep Anomaly Detection Using Fundus Images
by: Ruhland, Jan Benedikt, et al.
Published: (2025) -
Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye Fundus Images
by: Galdran, Adrian, et al.
Published: (2024) -
Adversarial Machine Learning: Attacking and Safeguarding Image Datasets
by: Chowdhury, Koushik
Published: (2025) -
Detecting Severity of Diabetic Retinopathy from Fundus Images: A Transformer Network-based Review
by: Karkera, Tejas, et al.
Published: (2023) -
Retinal Disease Classification from Fundus Images using CNN Transfer Learning
by: Akram, Ali
Published: (2026)