Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology
With the advancement of computational power, refinement of learning algorithms and
architectures, and availability of big data, artificial intelligence (AI) technology, particularly …
architectures, and availability of big data, artificial intelligence (AI) technology, particularly …
Application of artificial intelligence in cataract management: current and future directions
The rise of artificial intelligence (AI) has brought breakthroughs in many areas of medicine.
In ophthalmology, AI has delivered robust results in the screening and detection of diabetic …
In ophthalmology, AI has delivered robust results in the screening and detection of diabetic …
Artificial intelligence in ophthalmology: The path to the real-world clinic
Z Li, L Wang, X Wu, J Jiang, W Qiang, H **e… - Cell Reports …, 2023 - cell.com
Artificial intelligence (AI) has great potential to transform healthcare by enhancing the
workflow and productivity of clinicians, enabling existing staff to serve more patients …
workflow and productivity of clinicians, enabling existing staff to serve more patients …
Explainable framework for Glaucoma diagnosis by image processing and convolutional neural network synergy: analysis with doctor evaluation
Glaucoma causes blindness in long-time untreated cases. So, its early diagnosis is very
important. Moving from that, there have been lots of Deep Learning oriented studies to …
important. Moving from that, there have been lots of Deep Learning oriented studies to …
A comprehensive review of deep learning strategies in retinal disease diagnosis using fundus images
In recent years, there has been an unprecedented growth in computer vision and deep
learning implementation owing to the exponential rise of computation infrastructure. The …
learning implementation owing to the exponential rise of computation infrastructure. The …
Ophthalmic disease detection via deep learning with a novel mixture loss function
X Luo, J Li, M Chen, X Yang, X Li - IEEE Journal of Biomedical …, 2021 - ieeexplore.ieee.org
With the popularization of computer-aided diagnosis (CAD) technologies, more and more
deep learning methods are developed to facilitate the detection of ophthalmic diseases. In …
deep learning methods are developed to facilitate the detection of ophthalmic diseases. In …
Combining convolutional neural networks and self-attention for fundus diseases identification
K Wang, C Xu, G Li, Y Zhang, Y Zheng, C Sun - Scientific Reports, 2023 - nature.com
Early detection of lesions is of great significance for treating fundus diseases. Fundus
photography is an effective and convenient screening technique by which common fundus …
photography is an effective and convenient screening technique by which common fundus …
A benchmark of ocular disease intelligent recognition: One shot for multi-disease detection
In ophthalmology, early fundus screening is an economic and effective way to prevent
blindness caused by ophthalmic diseases. Clinically, due to the lack of medical resources …
blindness caused by ophthalmic diseases. Clinically, due to the lack of medical resources …
Rformer: Transformer-based generative adversarial network for real fundus image restoration on a new clinical benchmark
Ophthalmologists have used fundus images to screen and diagnose eye diseases.
However, different equipments and ophthalmologists pose large variations to the quality of …
However, different equipments and ophthalmologists pose large variations to the quality of …
The impact of artificial intelligence and deep learning in eye diseases: a review
Artificial intelligence (AI) is a subset of computer science dealing with the development and
training of algorithms that try to replicate human intelligence. We report a clinical overview of …
training of algorithms that try to replicate human intelligence. We report a clinical overview of …