000002224 001__ 2224
000002224 005__ 20171216195040.0
000002224 037__ $$aCONFERENCE-2017-157
000002224 100__ $$aAwais, Muhammad$$uCentre for Intelligent Signals and Imaging Research, Universiti Teknologi Petronas, Malaysia ; Department of Electrical and Electronics Engineering, Universiti Teknologi Petronas, Malaysia,
000002224 245__ $$aClassification of SD-OCT images using deep learning approach
000002224 260__ $$aKuching, Malaysia$$b12-14 September 2017$$c2017
000002224 269__ $$c2017-09
000002224 300__ $$a4 p.
000002224 506__ $$apublic
000002224 520__ $$9eng$$aDiabetic Macular Edema (DME) is one of the many eye diseases which is commonly found in diabetic patients. If its left untreated it may cause vision loss. This paper focuses on classification of abnormal and normal OCT image volumes using a pre-trained CNN network. Using VGG16, features are extracted at different layers of network e.g.: Before fully connected layer and after each fully connected layer. On the basis of these features classification has been performed using different classifier, results
000002224 592__ $$aHEG VS HES-SO Valais-Wallis - Haute Ecole de Gestion & Tourisme
000002224 592__ $$bInstitut Informatique de gestion
000002224 65017 $$aInformatique
000002224 6531_ $$9eng$$adiabetic macular edema (DME)
000002224 6531_ $$9eng$$adeep learning
000002224 6531_ $$9eng$$afeature matrices
000002224 6531_ $$9eng$$avisual graphic geometry (VGG)
000002224 655_7 $$afull paper
000002224 700__ $$aMuller, Henning$$uUniversity of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)
000002224 700__ $$aMeriaudeau, Fabrice$$uCentre for Intelligent Signals and Imaging Research, Universiti Teknologi Petronas, Malaysia ; Department of Electrical and Electronics Engineering, Universiti Teknologi Petronas, Malaysia,
000002224 711__ $$a2017 IEEE International Conference on Signal and Image Processing Applications (IEEE ICSIPA 2017)$$cKuching, Malaysia$$d12/09/2017 / 14/09/2017
000002224 773__ $$tProceedings of 2017 IEEE International Conference on Signal and Image Processing Applications (IEEE ICSIPA 2017)
000002224 8564_ $$s842716$$uhttp://hesso.tind.io/record/2224/files/Muller_2017_classification_SD-OCT.pdf
000002224 8564_ $$s2108308$$uhttp://hesso.tind.io/record/2224/files/Muller_2017_classification_SD-OCT.pdf?subformat=pdfa$$xpdfa
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000002224 950__ $$aI1
000002224 980__ $$aconference