NDLI: Classification of volumetric retinal images using overlapping decomposition and tree analysis

Content Provider	IEEE Xplore Digital Library
Author	Albarrak, A. Coenen, F. Yalin Zheng
Copyright Year	2013
Description	Author affiliation: Dept. of Eye & Vision Sci., Univ. of Liverpool, Liverpool, UK (Yalin Zheng) \|\| Dept. of Comput. Sci., Univ. of Liverpool, Liverpool, UK (Albarrak, A.; Coenen, F.)
Abstract	Methods for the classification of volumetric three-dimensional (3D) volumes (images) play an important role in the context of medical applications. In this paper, a dedicated tree based 3D representation is proposed that serves to directly capture 3D image features in such a way that classification techniques can be applied. More specifically an Overlapping Hierarchical Decomposition (OHD) technique is presented to generate a tree representation of a given 3D volume. The OHD method recursively decomposes a given 3D volume into sub-volumes forming a tree. Once the tree has been generated, a frequent sub-graph mining algorithm is applied to mine the tree representation so as to generate sub-graphs. These sub-graphs are then used to define a feature space from which feature vectors representing 3D images (one per 3D volume) can be extracted and fed into a classifier generator. To demonstrate the applicability of the proposed method a 3D Optical Coherence Tomography (OCT) retinal image screening application is considered directed at the identification of Age-related Macular Degeneration (AMD). The results show a promising performance with a best Area Under the receiver operating Curve (AUC) value of 98.7%.
Starting Page	11
Ending Page	16
File Size	1867462
Page Count	6
File Format	PDF
ISBN	9781479910533
DOI	10.1109/CBMS.2013.6627757
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-20
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Retina Feature extraction Histograms Vectors Data mining Equations
Content Type	Text
Resource Type	Article

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