Author Correction: Chákṣu: A glaucoma specific fundus image database.
作者信息
Kumar J R Harish, Seelamantula Chandra Sekhar, Gagan J H, Kamath Yogish S, Kuzhuppilly Neetha I R, Vivekanand U, Gupta Preeti, Patil Shilpa
机构信息
Department of Electrical and Electronics Engineering, Manipal Institute of Technology Manipal, Manipal Academy of Higher Education, Manipal, 576104, India.
Department of Electrical Engineering, Indian Institute of Science, Bangalore, 560012, India.
出版信息
Sci Data. 2023 Apr 6;10(1):190. doi: 10.1038/s41597-023-02084-4.
Abstract
摘要
相似文献
1
Author Correction: Chákṣu: A glaucoma specific fundus image database.作者更正：Chákṣu：一个青光眼专用眼底图像数据库。
Sci Data. 2023 Apr 6;10(1):190. doi: 10.1038/s41597-023-02084-4.
2
Image processing based automatic diagnosis of glaucoma using wavelet features of segmented optic disc from fundus image.基于图像处理的青光眼自动诊断：利用眼底图像中分割出的视盘的小波特征
Comput Methods Programs Biomed. 2016 Feb;124:108-20. doi: 10.1016/j.cmpb.2015.10.010. Epub 2015 Oct 23.
3
Automatic glaucoma diagnosis from fundus image.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:3383-6. doi: 10.1109/IEMBS.2011.6090916.
4
Automatic glaucoma screening using optic nerve head measurements and random forest classifier on fundus images.利用视盘测量和随机森林分类器对眼底图像进行青光眼自动筛查。
Phys Eng Sci Med. 2020 Dec;43(4):1265-1277. doi: 10.1007/s13246-020-00930-y. Epub 2020 Sep 28.
5
Optic cup segmentation from fundus images for glaucoma diagnosis.用于青光眼诊断的眼底图像视杯分割
Bioengineered. 2017 Jan 2;8(1):21-28. doi: 10.1080/21655979.2016.1227144. Epub 2016 Oct 20.
6
An enhanced deep image model for glaucoma diagnosis using feature-based detection in retinal fundus.基于眼底特征检测的增强型深度图像模型在青光眼诊断中的应用。
Med Biol Eng Comput. 2021 Feb;59(2):333-353. doi: 10.1007/s11517-020-02307-5. Epub 2021 Jan 13.
7
Detection of microscopic glaucoma through fundus images using deep transfer learning approach.通过深度迁移学习方法从眼底图像中检测青光眼
Microsc Res Tech. 2022 Jun;85(6):2259-2276. doi: 10.1002/jemt.24083. Epub 2022 Feb 15.
8
Author Correction: PAPILA: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment.
Sci Data. 2024 Apr 17;11(1):391. doi: 10.1038/s41597-024-03175-6.
9
[Development of a new fundus image processing system for diagnosis of glaucoma].[一种用于青光眼诊断的新型眼底图像处理系统的开发]
Zhonghua Yan Ke Za Zhi. 1994 Mar;30(2):140-3.
10
Regional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy (SLO) Images.用于眼底和扫描激光检眼镜（SLO）图像中正常与青光眼自动分类的区域图像特征模型
J Med Syst. 2016 Jun;40(6):132. doi: 10.1007/s10916-016-0482-9. Epub 2016 Apr 16.
引用本文的文献
1
A fundus image dataset for intelligent retinopathy of prematurity system.用于智能早产儿视网膜病变系统的眼底图像数据集。
Sci Data. 2024 May 27;11(1):543. doi: 10.1038/s41597-024-03362-5.
Zotero 插件