Regional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy (SLO) Images-Reference-Cited by-同舟云学术

Regional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy (SLO) Images

Published:2016-04-16 Issue:6 Volume:40 Page:
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Haleem Muhammad Salman,Han Liangxiu,Hemert Jano van,Fleming Alan,Pasquale Louis R.,Silva Paolo S.,Song Brian J.,Aiello Lloyd Paul

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10916-016-0482-9

Reference51 articles.

1. Suzanne, R., The most common causes of blindness, 2011. http://www.livestrong.com/article/92727-common-causes-blindness .

2. Parekh, A., Tafreshi, A., Dorairaj, S., Weinreb, R. N., Clinical applicability of the international classification of disease and related health problems (icd-9) glaucoma staging codes to predict disease severity in patients with open-angle glaucoma. J. Glaucoma 23:e18–e22, 2014.

3. National Health Services UK, 2011. http://www.nhscareers.nhs.uk/features/2011/june/ .

4. Tham, Y.-C., Li, X., Wong, T. Y., Quigley, H. A., Aung, T., Cheng, C.-Y., Global prevalence of glaucoma and projections of glaucoma burden through. Ophthalmology 121(2014):2081–2090, 2040.

5. Jonas, J., Budde, W., Jonas, S., Ophthalmoscopic evaluation of optic nerve head. Surv. Ophthalmol. 43:293–320, 1999.

Cited by 37 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Glaucoma Detection Using Convolutional Neural Network (CNN);2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP);2023-12-15

2. A novel hybridized feature selection strategy for the effective prediction of glaucoma in retinal fundus images;Multimedia Tools and Applications;2023-10-21

3. Telemedicine for glaucoma: the state-of-the-art and trends of development;Russian Ophthalmological Journal;2023-10-12

4. SLO-MSNet: Discrimination of Multiple Sclerosis using Scanning Laser Ophthalmoscopy Images with Autoencoder-Based Feature Extraction;2023-09-04

5. An automated classification framework for glaucoma detection in fundus images using ensemble of dynamic selection methods;Progress in Artificial Intelligence;2023-07-28