首页> 美国卫生研究院文献>Eye >Diagnostic accuracy and reliability of retinal pathology using the Forus 3nethra fundus camera compared to ultra wide-field imaging

【2h】

Diagnostic accuracy and reliability of retinal pathology using the Forus 3nethra fundus camera compared to ultra wide-field imaging

机译：使用Forus 3nethra眼底摄像头与超宽视场成像相比视网膜病理学的诊断准确性和可靠性

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

摘要
著录项
引文网络
相似文献
相关主题

摘要

Fundus images of proliferative diabetic retinopathy OS. Forus. Optos

机译：增生性糖尿病视网膜病变OS的眼底图像。为了我们。光电

著录项

期刊名称 Eye
作者
Dana Y. Darwish; Samir N. Patel; Yan Gao; Pooja Bhat; Felix Y. Chau; Jennifer I. Lim; Judy E. Kim; Jogin Jose; Karyn E. Jonas; R. V. Paul Chan; Supriya D. Mehta; Ann-Marie Lobo;
展开▼
作者单位

展开▼
年(卷),期 2019(33),5
年度 2019
页码 -1
总页数 2
原文格式 PDF
正文语种
中图分类眼科学;
关键词
Retinal diseases; Medical imaging;

机译：视网膜疾病;医学影像学;

相似文献

外文文献
中文文献
专利

1. Diagnostic accuracy and reliability of retinal pathology using the Forus 3nethra fundus camera compared to ultra wide-field imaging [J] . Darwish Dana Y., Patel Samir N., Gao Yan, Eye . 2019,第5期

机译：与超广域成像相比，使用Forus 3Nethra USSOUS相机诊断准确性和视网膜病理的可靠性
2. Diagnostic Accuracy and Reliability of Retinal Pathology Using the Forus 3nethra Fundus Camera Compared to Ultra Wide-Field Imaging [J] . Darwish Dana Yousef, Patel Samir N., Kim Judy E., Investigative ophthalmology & visual science . 2017,第8期

机译：与超广域成像相比，使用Forus 3 Nethra Usfus相机使用前视网膜病理学的诊断准确性和可靠性
3. Diagnostic Accuracy and Reliability of Retinal Pathology Using the Forus 3nethra Fundus Camera Compared to Ultra Wide-Field Imaging [J] . Darwish Dana Yousef, Patel Samir N., Kim Judy E., Investigative ophthalmology & visual science . 2017,第8期

机译：与超广域成像相比，使用Forus 3 Nethra Usfus相机使用前视网膜病理学的诊断准确性和可靠性
4. Retinal nerve fibre layer detection in fundus camera images compared to results from optical coherence tomography [C] . Gazarek Jiri, Jan Jiri, Kolar Radim, 2011 International Conference on Image Information Processing . 2011

机译：眼底照相机图像中视网膜神经纤维层的检测与光学相干断层扫描的结果相比
5. On Human Level Understanding of Digital Fundus Images for Retinal Disease Detection [D] . Wang, Su. 2017

机译：关于人类眼底数字图像对视网膜疾病检测的理解
6. Accuracy of deep learning a machine-learning technology using ultra–wide-field fundus ophthalmoscopy for detecting rhegmatogenous retinal detachment [O] . Hideharu Ohsugi, Hitoshi Tabuchi, Hiroki Enno, -1

机译：深度学习的一种机器学习技术的准确性该技术使用超广角眼底检眼镜来检测血源性视网膜脱离
7. Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images [O] . Abraham Olvera-Barrios, Tjebo FC Heeren, Konstantinos Balaskas, 2020

机译：通过人工智能的算法诊断糖尿病视网膜病变分级的准确性与人工标准相比宽场真彩色共焦扫描和标准数字视网膜图像

Diagnostic accuracy and reliability of retinal pathology using the Forus 3nethra fundus camera compared to ultra wide-field imaging

摘要

著录项

引文网络

相似文献

相关主题

期刊订阅