Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Age-related macular degeneration detection and stage classification using choroidal OCT images

Deng, Jingjing, Xie, Xianghua, Terry, Louise, Wood, Ashley, White, Nick, Margrain, Tom H. and North, Rachel V. 2016. Age-related macular degeneration detection and stage classification using choroidal OCT images. In: Campilho, Aurélio and Karray, Fakhri eds. Image Analysis and Recognition: ICIAR 2016, Vol. 9730. Lecture Notes in Computer Science, Cham: Springer, pp. 707-715. (10.1007/978-3-319-41501-7_79)

[img]
Preview
PDF - Accepted Post-Print Version
Download (2MB) | Preview

Abstract

Age-Related Macular Degeneration (AMD) is a progressive eye disease which damages the retina and causes visual impairment. Detecting those in the early stages at most risk of progression will allow more timely treatment and preserve sight. In this paper, we propose a machine learning based method to detect AMD and distinguish the different stages using choroidal images obtained from optical coherence tomography (OCT). We extract texture features using a Gabor filter bank and non-linear energy transformation. Then the histogram based feature descriptors are used to train the random forests, Support Vector Machine (SVM) and neural networks, which are tested on our choroid OCT image dataset with 21 participants. The experimental results show the feasibility of our method.

Item Type: Book Section
Date Type: Publication
Status: Published
Schools: Optometry and Vision Sciences
Publisher: Springer
ISBN: 978-3-319-41501-7
ISSN: 0302-9743
Date of First Compliant Deposit: 23 January 2019
Last Modified: 09 Jul 2019 13:17
URI: http://orca.cf.ac.uk/id/eprint/118432

Citation Data

Cited 4 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics