Ophthalmology | Pathology | Radiology Suppressing label noise in medical image classification using mixup attention and self-supervised learning. April 18, 2024
Cardiology | Neurology | Ophthalmology Predicting ischemic stroke risk from atrial fibrillation based on multi-spectral fundus images using deep learning. August 21, 2023
Ophthalmology Discriminative ensemble meta-learning with co-regularization for rare fundus diseases diagnosis. July 17, 2023
Pathology | Radiology Multi-Learner Based Deep Meta-Learning for Few-Shot Medical Image Classification. October 17, 2022
Ophthalmology Triplet Cross-Fusion Learning for Unpaired Image Denoising in Optical Coherence Tomography. June 20, 2022
Ophthalmology | Radiology Bayesian statistics guided label refurbishment mechanism: Mitigating label noise in medical image classification. June 9, 2022
Ophthalmology Rethinking the neighborhood information for deep learning-based optical coherence tomography angiography. March 20, 2022
Ophthalmology A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy Classification. October 6, 2020
Ophthalmology An Interpretable Ensemble Deep Learning Model for Diabetic Retinopathy Disease Classification. January 17, 2020
Radiology An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network. January 22, 2019