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

• 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/

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...