Age-Related Macular Degeneration and Optic Disk Cupping: The Beaver Dam Eye Study

2006 ◽  
Vol 141 (3) ◽  
pp. 494-497 ◽  
Author(s):  
Ellen R. Hall ◽  
Barbara E.K. Klein ◽  
Michael D. Knudtson ◽  
Stacy M. Meuer ◽  
Ronald Klein
2017 ◽  
Vol 58 (14) ◽  
pp. 6328 ◽  
Author(s):  
Ronald Klein ◽  
Kristine E. Lee ◽  
John D. Maynard ◽  
Stacy M. Meuer ◽  
Ronald E. Gangnon ◽  
...  

Ophthalmology ◽  
2013 ◽  
Vol 120 (5) ◽  
pp. 1012-1019 ◽  
Author(s):  
Ronald Klein ◽  
Karen J. Cruickshanks ◽  
Chelsea E. Myers ◽  
Theru A. Sivakumaran ◽  
Sudha K. Iyengar ◽  
...  

2005 ◽  
Vol 140 (1) ◽  
pp. 129-131 ◽  
Author(s):  
Ronald Klein ◽  
Barbara E.K. Klein ◽  
Michael D. Knudtson

2015 ◽  
Vol 4 (3) ◽  
pp. 425-440 ◽  
Author(s):  
Ronald Klein ◽  
Chelsea Myers ◽  
Kristine Lee ◽  
Ronald Gangnon ◽  
Theru Sivakumaran ◽  
...  

1999 ◽  
Vol 127 (2) ◽  
pp. 220-221 ◽  
Author(s):  
Wido M Budde ◽  
Jost B Jonas ◽  
Ulrich Schönherr

2004 ◽  
Vol 138 (1) ◽  
pp. 38-45 ◽  
Author(s):  
Simon K. Law ◽  
Yong Ho Sohn ◽  
Douglas Hoffman ◽  
Kent Small ◽  
Anne L. Coleman ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Young Jae Kim ◽  
Kwang Gi Kim

Existing drusen measurement is difficult to use in clinic because it requires a lot of time and effort for visual inspection. In order to resolve this problem, we propose an automatic drusen detection method to help clinical diagnosis of age-related macular degeneration. First, we changed the fundus image to a green channel and extracted the ROI of the macular area based on the optic disk. Next, we detected the candidate group using the difference image of the median filter within the ROI. We also segmented vessels and removed them from the image. Finally, we detected the drusen through Renyi’s entropy threshold algorithm. We performed comparisons and statistical analysis between the manual detection results and automatic detection results for 30 cases in order to verify validity. As a result, the average sensitivity was 93.37% (80.95%~100%) and the average DSC was 0.73 (0.3~0.98). In addition, the value of the ICC was 0.984 (CI: 0.967~0.993, p<0.01), showing the high reliability of the proposed automatic method. We expect that the automatic drusen detection helps clinicians to improve the diagnostic performance in the detection of drusen on fundus image.


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