Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images

Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images

Abstract Background Spectral domain optical coherence tomography (OCT) (SD-OCT) is most widely imaging equipment used in ophthalmology to detect diabetic macular edema (DME). Indeed, it offers an accurate visualization of the morphology of the retina as well as the retina layers. Methods The dataset...

Full description

Bibliographic Details
Main Authors: Khaled Alsaih, Guillaume Lemaitre, Mojdeh Rastgoo, Joan Massich, Désiré Sidibé, Fabrice Meriaudeau
Format: Article
Language:English
Published: BMC 2017-06-01
Series:BioMedical Engineering OnLine
Subjects:
DME detection
SD-OCT
Classification
HoG
LBP
BoW
Online Access:http://link.springer.com/article/10.1186/s12938-017-0352-9

Internet

http://link.springer.com/article/10.1186/s12938-017-0352-9

Similar Items