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Application of Artificial Intelligence to Improve Imaging in Ophthalmology.

作者信息

Christopher Mark

机构信息

Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, California, USA.

出版信息

J Ophthalmic Vis Res. 2023 Feb 21;18(1):1-2. doi: 10.18502/jovr.v18i1.12719. eCollection 2023 Jan-Mar.

DOI:10.18502/jovr.v18i1.12719
PMID:36937199
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10020794/
Abstract
摘要

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本文引用的文献

1
Correction of Retinal Nerve Fiber Layer Thickness Measurement on Spectral-Domain Optical Coherence Tomographic Images Using U-net Architecture.使用U-net架构校正光谱域光学相干断层扫描图像上的视网膜神经纤维层厚度测量值
J Ophthalmic Vis Res. 2023 Feb 21;18(1):41-50. doi: 10.18502/jovr.v18i1.12724. eCollection 2023 Jan-Mar.
2
Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review.光学相干断层扫描中视盘头区域的自动分割:方法学综述。
Comput Methods Programs Biomed. 2022 Jun;220:106801. doi: 10.1016/j.cmpb.2022.106801. Epub 2022 Apr 6.
3
Validation and Clinical Applicability of Whole-Volume Automated Segmentation of Optical Coherence Tomography in Retinal Disease Using Deep Learning.基于深度学习的全容积自动光学相干断层扫描在视网膜疾病中的验证和临床适用性。
JAMA Ophthalmol. 2021 Sep 1;139(9):964-973. doi: 10.1001/jamaophthalmol.2021.2273.
4
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis.深度学习在医学成像中的诊断准确性:一项系统评价与荟萃分析。
NPJ Digit Med. 2021 Apr 7;4(1):65. doi: 10.1038/s41746-021-00438-z.
5
An Introductory Review of Deep Learning for Prediction Models With Big Data.大数据预测模型的深度学习入门综述
Front Artif Intell. 2020 Feb 28;3:4. doi: 10.3389/frai.2020.00004. eCollection 2020.
6
Artificial intelligence and deep learning in ophthalmology.人工智能和深度学习在眼科学中的应用。
Br J Ophthalmol. 2019 Feb;103(2):167-175. doi: 10.1136/bjophthalmol-2018-313173. Epub 2018 Oct 25.
7
A Deep Learning Approach to Digitally Stain Optical Coherence Tomography Images of the Optic Nerve Head.深度学习方法对视神经头的光学相干断层扫描图像进行数字化染色。
Invest Ophthalmol Vis Sci. 2018 Jan 1;59(1):63-74. doi: 10.1167/iovs.17-22617.
8
Prevalence and Associated Factors of Segmentation Errors in the Peripapillary Retinal Nerve Fiber Layer and Macular Ganglion Cell Complex in Spectral-domain Optical Coherence Tomography Images.光谱域光学相干断层扫描图像中视乳头周围视网膜神经纤维层和黄斑神经节细胞复合体分割误差的患病率及相关因素
J Glaucoma. 2017 Nov;26(11):995-1000. doi: 10.1097/IJG.0000000000000771.
9
Automated Segmentation Errors When Using Optical Coherence Tomography to Measure Retinal Nerve Fiber Layer Thickness in Glaucoma.使用光学相干断层扫描测量青光眼视网膜神经纤维层厚度时的自动分割误差
Am J Ophthalmol. 2017 Feb;174:1-8. doi: 10.1016/j.ajo.2016.10.020. Epub 2016 Nov 4.