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...

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Dades bibliogràfiques
Autors principals: Khaled Alsaih, Guillaume Lemaitre, Mojdeh Rastgoo, Joan Massich, Désiré Sidibé, Fabrice Meriaudeau
Format: Article
Idioma:English
Publicat: BMC 2017-06-01
Col·lecció:BioMedical Engineering OnLine
Matèries:
DME detection
SD-OCT
Classification
HoG
LBP
BoW
Accés en línia:http://link.springer.com/article/10.1186/s12938-017-0352-9

Internet

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

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