Ophthalmology Protocol to analyze fundus images for multidimensional quality grading and real-time guidance using deep learning techniques. September 21, 2023
Ophthalmology Deploying efficient net batch normalizations (BNs) for grading diabetic retinopathy severity levels from fundus images. September 2, 2023
Ophthalmology CLRD: Collaborative Learning for Retinopathy Detection Using Fundus Images. August 26, 2023
Cardiology | Ophthalmology MIL-CT: Multiple Instance Learning via a Cross-Scale Transformer for Enhanced Arterial Light Reflex Detection. August 26, 2023
Cardiology | Neurology | Ophthalmology Predicting ischemic stroke risk from atrial fibrillation based on multi-spectral fundus images using deep learning. August 21, 2023
Ophthalmology Privacy-Preserving Federated Learning with Domain Adaptation for Multi-Disease Ocular Disease Recognition. August 17, 2023
Computer Science | Ophthalmology A fundus image classification framework for learning with noisy labels. August 16, 2023
Ophthalmology Deep learning for detecting visually impaired cataracts using fundus images. August 14, 2023
Ophthalmology Automatic Detection and Classification of Diabetic Retinopathy Using the Improved Pooling Function in the Convolution Neural Network. August 12, 2023
Ophthalmology Hierarchical Knowledge Guided Learning for Real-world Retinal Disease Recognition. August 7, 2023
Ophthalmology URNet: System for recommending referrals for community screening of diabetic retinopathy based on deep learning. July 19, 2023
Artificial Intelligence | Ophthalmology Fine-grained attention & knowledge-based collaborative network for diabetic retinopathy grading. July 14, 2023