Detection of Diabetic Macular Edema in Optical Coherence Tomography Image Using an Improved Level Set Algorithm
Joint Authors
Wang, Zhenhua
Zhang, Wenping
Sun, Yanan
Yao, Mudi
Yan, Biao
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-30
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Diabetic macular edema (DME) is a major cause of visual loss in the patients with diabetic retinopathy.
DME detection in Optical Coherence Tomography (OCT) image contributes to the early diagnosis of diabetic retinopathy and blindness prevention.
Currently, DME detection in the OCT image mainly relies on the handwork by the experienced clinician.
It is a laborious, time-consuming, and challenging work to organize a comprehensive DME screening for diabetic patients.
In this study, we proposed a novel algorithm for the detection and segmentation of DME region in OCT image based on the K-means clustering algorithm and improved Selective Binary and Gaussian Filtering regularized level set (SBGFRLS) algorithm named as SBGFRLS-OCT algorithm.
SBGFRLS-OCT algorithm was compared with the current level set algorithms, including C-V (Chan-Vese), GAC (geodesic active contour), and SBGFRLS, to estimate the performance of DME detection.
SBGFRLS-OCT algorithm was also compared with the clinician to estimate the precision, sensitivity, and specificity of DME segmentation.
Compared with C-V, GAC, and SBGFRLS algorithm, the SBGFRLS-OCT algorithm enhanced the accuracy and reduces the processing time of DME detection.
Compared with manual DME segmentation, the SBGFRLS-OCT algorithm achieved a comparable precision (97.7%), sensitivity (91.8%), and specificity (99.2%).
Collectively, this study presents a novel algorithm for DME detection in the OCT image, which can be used for mass diabetic retinopathy screening.
American Psychological Association (APA)
Wang, Zhenhua& Zhang, Wenping& Sun, Yanan& Yao, Mudi& Yan, Biao. 2020. Detection of Diabetic Macular Edema in Optical Coherence Tomography Image Using an Improved Level Set Algorithm. BioMed Research International،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1136391
Modern Language Association (MLA)
Wang, Zhenhua…[et al.]. Detection of Diabetic Macular Edema in Optical Coherence Tomography Image Using an Improved Level Set Algorithm. BioMed Research International No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1136391
American Medical Association (AMA)
Wang, Zhenhua& Zhang, Wenping& Sun, Yanan& Yao, Mudi& Yan, Biao. Detection of Diabetic Macular Edema in Optical Coherence Tomography Image Using an Improved Level Set Algorithm. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1136391
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136391