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Conference Paper/Proceeding/Abstract 1029 views 211 downloads

Age-Related Macular Degeneration Detection and Stage Classification Using Choroidal OCT Images

Jingjing Deng, Xianghua Xie Orcid Logo, Louise Terry, Ashley Wood, Nick White, Tom H. Margrain, Rachel V. North

Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science., Volume: 9730, Pages: 707 - 715

Swansea University Authors: Jingjing Deng, Xianghua Xie Orcid Logo

Abstract

In this paper, we propose a machine learning based method to detect AMD and distinguish the di↵erent 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 fe...

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Published in: Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science.
ISSN: 1611-3349 0302-9743
Published: ICIAR 2016 2016
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa32100
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Abstract: In this paper, we propose a machine learning based method to detect AMD and distinguish the di↵erent 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.
Keywords: Medical image analysis, OCT, Neural Network
College: Faculty of Science and Engineering
Start Page: 707
End Page: 715