Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability
Health data that are publicly available are valuable resources for digital health research.
Several public datasets containing ophthalmological imaging have been frequently used in …
Several public datasets containing ophthalmological imaging have been frequently used in …
[HTML][HTML] Artificial intelligence and deep learning in ophthalmology: current status and future perspectives
K **, J Ye - Advances in ophthalmology practice and research, 2022 - Elsevier
Background The ophthalmology field was among the first to adopt artificial intelligence (AI)
in medicine. The availability of digitized ocular images and substantial data have made …
in medicine. The availability of digitized ocular images and substantial data have made …
Detecting glaucoma with only OCT: Implications for the clinic, research, screening, and AI development
A method for detecting glaucoma based only on optical coherence tomography (OCT) is of
potential value for routine clinical decisions, for inclusion criteria for research studies and …
potential value for routine clinical decisions, for inclusion criteria for research studies and …
[HTML][HTML] A review of deep learning for screening, diagnosis, and detection of glaucoma progression
Because of recent advances in computing technology and the availability of large datasets,
deep learning has risen to the forefront of artificial intelligence, with performances that often …
deep learning has risen to the forefront of artificial intelligence, with performances that often …
A combined convolutional and recurrent neural network for enhanced glaucoma detection
Glaucoma, a leading cause of blindness, is a multifaceted disease with several patho-
physiological features manifesting in single fundus images (eg, optic nerve cup**) as well …
physiological features manifesting in single fundus images (eg, optic nerve cup**) as well …
Artificial intelligence and machine learning in ophthalmology: A review
Since the introduction of artificial intelligence (AI) in 1956 by John McCarthy, the field has
propelled medicine, optimized efficiency, and led to technological breakthroughs in clinical …
propelled medicine, optimized efficiency, and led to technological breakthroughs in clinical …
Clinical applications of artificial intelligence in glaucoma
S Yousefi - Journal of ophthalmic & vision research, 2023 - pmc.ncbi.nlm.nih.gov
Ophthalmology is one of the major imaging-intensive fields of medicine and thus has
potential for extensive applications of artificial intelligence (AI) to advance diagnosis, drug …
potential for extensive applications of artificial intelligence (AI) to advance diagnosis, drug …
Predicting glaucoma progression using deep learning framework guided by generative algorithm
Glaucoma is a slowly progressing optic neuropathy that may eventually lead to blindness.
To help patients receive customized treatment, predicting how quickly the disease will …
To help patients receive customized treatment, predicting how quickly the disease will …
Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Purpose To assess the use of deep learning (DL) for computer‐assisted glaucoma
identification, and the impact of training using images selected by an active learning …
identification, and the impact of training using images selected by an active learning …
Artificial intelligence and deep learning in ophthalmology
Artificial intelligence (AI), in particular deep learning (DL), has gained significant interest
recently from healthcare systems. DL has been widely applied to detect and classify major …
recently from healthcare systems. DL has been widely applied to detect and classify major …