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Development of a deep residual learning algorithm to screen for glaucoma from fundus photography

机译：从眼底拍摄到青光眼筛选的深度残余学习算法

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Naoto Shibata; Masaki Tanito; Keita Mitsuhashi; Yuri Fujino; Masato Matsuura; Hiroshi Murata; Ryo Asaoka;
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1. Development of a deep residual learning algorithm to screen for glaucoma from fundus photography [J] . Naoto Shibata, Masaki Tanito, Keita Mitsuhashi, Scientific reports. . 2018,第1期

机译：从眼底拍摄到青光眼筛选的深度残余学习算法
2. Screening Glaucoma With Red-free Fundus Photography Using Deep Learning Classifier and Polar Transformation [J] . Lee Jinho, Kim Youngwoo, Kim Jong Hyo, Journal of glaucoma . 2019,第3期

机译：使用深度学习分类器和极地转型，用无红眼底摄影筛选青光眼
3. A Deep Learning Algorithm for Prediction of Age-Related Eye Disease Study Severity Scale for Age-Related Macular Degeneration from Color Fundus Photography [J] . Felix Grassmann, Judith Mengelkamp, Caroline Brandl, Ophthalmology . 2018,第9期

机译：一种深入学习算法，用于预测年龄相关眼病研究严重程度与彩色眼底摄影的年龄相关黄斑变性
4. A Robust Glaucoma Screening Method for Fundus Images Using Deep Learning Technique [C] . Fatemeh Maadi, Neda Faraji, Mohammadreza Hassannejad Bibalan National Conference on Biomedical Engineering;International Iranian Conference on Biomedical Engineering . 2020

机译：利用深度学习技术的眼底图像鲁棒型青光眼筛选方法
5. Classification of Medium Access Control Protocols in Cognitive Radio Networks Using Deep Learning and Machine Learning Algorithms [D] . Zhou, Yu. 2018

机译：使用深度学习和机器学习算法的认知无线电网络中媒体访问控制协议的分类
6. Development of a deep residual learning algorithm to screen for glaucoma from fundus photography [O] . Naoto Shibata, Masaki Tanito, Keita Mitsuhashi, -1

机译：深度残差学习算法的开发用于从眼底照相中筛选青光眼
7. A new platform designed for glaucoma screening: identifying the risk of glaucomatous optic neuropathy using fundus photography with deep learning architecture together with intraocular pressure measurements [O] . Anna Zaleska-Żmijewska, Jacek P. Szaflik, Paweł Borowiecki, 2020

机译：专为青光眼筛查设计的新平台：使用深度学习架构与眼压测量一起使用眼底摄影鉴定青光眼视神经病变的风险

Development of a deep residual learning algorithm to screen for glaucoma from fundus photography

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