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An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images

This paper proposes a method for automatic classification of spectral domain OCT data for the identification of patients with retinal diseases such as Diabetic Macular Edema (DME). We address this issue as an anomaly detection problem and propose a method that not only allows the classification of t...

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Bibliographic Details
Main Authors: Sidibé, D., Sankar, S., Lemaître, G., Rastgoo, M., Massich, J., Cheung, C.Y., Tan, G.S.W., Milea, D., Lamoureux, E., Wong, T.Y., Mériaudeau, F.
Format: Article
Published: Elsevier Ireland Ltd 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995655027&doi=10.1016%2fj.cmpb.2016.11.001&partnerID=40&md5=730b22c8872bda4e7130883365c3c564
http://eprints.utp.edu.my/19645/
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995655027&doi=10.1016%2fj.cmpb.2016.11.001&partnerID=40&md5=730b22c8872bda4e7130883365c3c564
http://eprints.utp.edu.my/19645/

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