Ophthalmology Application and progress of artificial intelligence technology in the segmentation of hyperreflective foci in OCT images for ophthalmic disease research. June 19, 2024
Ophthalmology An Artificial Intelligence Driven Approach for Classification of Ophthalmic Images using Convolutional Neural Network: An Experimental Study. May 9, 2024
Ophthalmology | Veterinary Medicine Comparison of veterinarians and a deep learning tool in the diagnosis of equine ophthalmic diseases. April 3, 2024
Ophthalmology Applications of deep learning for detecting ophthalmic diseases with ultrawide-field fundus images. January 19, 2024
Ophthalmology High-precision retinal blood vessel segmentation based on a multi-stage and dual-channel deep learning network. January 10, 2024
Ophthalmology Automated classification of multiple ophthalmic diseases using ultrasound images by deep learning. October 18, 2023
Ophthalmology Cross-camera Performance of Deep Learning Algorithms to Diagnose Common Ophthalmic Diseases: A Comparative Study Highlighting Feasibility to Portable Fundus Camera Use. May 29, 2023
Ophthalmology Deceptive Tricks in Artificial Intelligence: Adversarial Attacks in Ophthalmology. May 13, 2023
Ophthalmology An interpretable and interactive deep learning algorithm for a clinically applicable retinal fundus diagnosis system by modelling finding-disease relationship. April 12, 2023
Ophthalmology Using deep leaning models to detect ophthalmic diseases: A comparative study. March 20, 2023
Genomics | Ophthalmology | Translational Research Ophthatome™: an integrated knowledgebase of ophthalmic diseases for translating vision research into the clinic. November 11, 2020