relation: https://khub.utp.edu.my/scholars/6783/
title: Classification of SD-OCT volumes with multi pyramids, LBP and HOG descriptors: Application to DME detections
creator: Alsaih, K.
creator: Lemaître, G.
creator: Vall, J.M.
creator: Rastgoo, M.
creator: Sidibé, D.
creator: Wong, T.Y.
creator: Lamoureux, E.
creator: Milea, D.
creator: Cheung, C.Y.
creator: Mériaudeau, F.
description: This paper deals with the automated detection of Diabetic Macular Edema (DME) on Optical Coherence Tomography (OCT) volumes. Our method considers a generic classification pipeline with preprocessing for noise removal and flattening of each B-Scan. Features such as Histogram of Oriented Gradients (HOG) and Local Binary Patterns (LBP) are extracted and combined to create a set of different feature vectors which are fed to a linear-Support Vector Machines (SVM) Classifier. Experimental results show a promising sensitivity/specificity of 0.75/0.87 on a challenging dataset. © 2016 IEEE.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2016
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Alsaih, K. and Lemaître, G. and Vall, J.M. and Rastgoo, M. and Sidibé, D. and Wong, T.Y. and Lamoureux, E. and Milea, D. and Cheung, C.Y. and Mériaudeau, F.  (2016) Classification of SD-OCT volumes with multi pyramids, LBP and HOG descriptors: Application to DME detections.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009112298&doi=10.1109%2fEMBC.2016.7590956&partnerID=40&md5=a523600f69dfb58f27271b2f30436aa1
relation: 10.1109/EMBC.2016.7590956
identifier: 10.1109/EMBC.2016.7590956