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Automatic CDR Estimation for Early Glaucoma Diagnosis
Joint Authors
Alemany Márquez, P.
Fernandez-Granero, M. A.
Sarmiento, A.
Sanchez-Morillo, D.
Jiménez, S.
Fondón, I.
Source
Journal of Healthcare Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-27
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Glaucoma is a degenerative disease that constitutes the second cause of blindness in developed countries.
Although it cannot be cured, its progression can be prevented through early diagnosis.
In this paper, we propose a new algorithm for automatic glaucoma diagnosis based on retinal colour images.
We focus on capturing the inherent colour changes of optic disc (OD) and cup borders by computing several colour derivatives in CIE L∗a∗b∗ colour space with CIE94 colour distance.
In addition, we consider spatial information retaining these colour derivatives and the original CIE L∗a∗b∗ values of the pixel and adding other characteristics such as its distance to the OD centre.
The proposed strategy is robust due to a simple structure that does not need neither initial segmentation nor removal of the vascular tree or detection of vessel bends.
The method has been extensively validated with two datasets (one public and one private), each one comprising 60 images of high variability of appearances.
Achieved class-wise-averaged accuracy of 95.02% and 81.19% demonstrates that this automated approach could support physicians in the diagnosis of glaucoma in its early stage, and therefore, it could be seen as an opportunity for developing low-cost solutions for mass screening programs.
American Psychological Association (APA)
Fernandez-Granero, M. A.& Sarmiento, A.& Sanchez-Morillo, D.& Jiménez, S.& Alemany Márquez, P.& Fondón, I.. 2017. Automatic CDR Estimation for Early Glaucoma Diagnosis. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1181112
Modern Language Association (MLA)
Fernandez-Granero, M. A.…[et al.]. Automatic CDR Estimation for Early Glaucoma Diagnosis. Journal of Healthcare Engineering No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1181112
American Medical Association (AMA)
Fernandez-Granero, M. A.& Sarmiento, A.& Sanchez-Morillo, D.& Jiménez, S.& Alemany Márquez, P.& Fondón, I.. Automatic CDR Estimation for Early Glaucoma Diagnosis. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1181112
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181112