Artificial Intelligence | Cardiology | Medical Imaging | Ophthalmology A Multi-Stage Approach for Cardiovascular Risk Assessment from Retinal Images Using an Amalgamation of Deep Learning and Computer Vision Techniques. May 11, 2024
Artificial Intelligence | Diabetology | Ophthalmology A systematic review on diabetic retinopathy detection and classification based on deep learning techniques using fundus images. May 3, 2024
Ophthalmology | Primary Care A multimodal approach using fundus images and text meta-data in a machine learning classifier with embeddings to predict years with self-reported diabetes – An exploratory analysis. April 15, 2024
Ophthalmology Semantic-oriented Visual Prompt Learning for Diabetic Retinopathy Grading on Fundus Images. April 2, 2024
Biomedical imaging | Ophthalmology | Telemedicine Early detection of glaucoma integrated with deep learning models over medical devices. March 1, 2024
Ophthalmology Automated Machine Learning versus Expert-Designed Models in Ocular Toxoplasmosis: Detection and Lesion Localization Using Fundus Images. February 27, 2024
Ophthalmology Deep Learning-based Glaucoma Detection Using CNN and Digital Fundus Images: A Promising Approach for Precise Diagnosis. February 23, 2024
Neurology | Ophthalmology Deep Learning Models for the Screening of Cognitive Impairment Using Multimodal Fundus Images. January 27, 2024
Ophthalmology Retinal Disease Diagnosis Using Deep Learning on Ultra-Wide-Field Fundus Images. January 11, 2024
Ophthalmology High-precision retinal blood vessel segmentation based on a multi-stage and dual-channel deep learning network. January 10, 2024
Ophthalmology RDS-DR: An Improved Deep Learning Model for Classifying Severity Levels of Diabetic Retinopathy. October 14, 2023
Computer Science | Ophthalmology A Lightweight Diabetic Retinopathy Detection Model Using a Deep-Learning Technique. October 14, 2023