Title
Automated retinal layer segmentation in OCT images of age-related macular degeneration
Abstract
Age-related macular degeneration (AMD) is a common eye disease that causes progressive degeneration of the central vision. The presence of abundant drusen is a common early feature of AMD. Optical coherence tomography (OCT) can provide detailed structure information on drusen. The physiological structure of the retinal epithelium and drusen complex (RPEDC) and the Bruch's membrane (BM) layer boundaries will be influenced by the presence of drusen with AMD. Therefore, drusen quantification is important to diagnose and cure AMD. The authors proposed an automatic method to segment the inner limiting membrane, the retinal pigment epithelium and drusen complex (RPEDC) and BM layer boundaries from OCT images with AMD (termed as deep forest for layer segmentation (DF-LS)). In their method, image patches are extracted and used to train a deep-forest model to predict three boundary probability maps. In addition, they modify grapy theory and dynamic programming method to find the layer boundary. Finally, the layer boundary is smoothed by using a smoothing operation. The proposed DF-LS method is evaluated on three publicly available datasets (one healthy dataset and two AMD dataset). The proposed DF-LS method can yield superior mean unsigned error with an average error of 0.81 pixel on Tian <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al</italic> .'s dataset, and 1.35, 1.23 pixel on Chiu <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al</italic> .'s and Farisu <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">et al</italic> .'s dataset, respectively.
Year
DOI
Venue
2019
10.1049/iet-ipr.2018.5304
Iet Image Processing
Keywords
Field
DocType
image segmentation,medical image processing,optical tomography,diseases,eye,vision defects,biomedical optical imaging,dynamic programming,graph theory,feature extraction
Computer vision,Optical coherence tomography,Pattern recognition,Segmentation,Drusen,Smoothing,Pixel,Macular degeneration,Artificial intelligence,Retinal,Retinal pigment epithelium,Mathematics
Journal
Volume
Issue
ISSN
13
11
1751-9659
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Zailiang Chen1439.10
Dabao Li200.34
Hailan Shen312.72
Yufang Mo400.34
Hao Wei521.75
Ping-Bo Ouyang632.77