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...

詳細記述

書誌詳細
主要な著者: Khaled Alsaih, Guillaume Lemaitre, Mojdeh Rastgoo, Joan Massich, Désiré Sidibé, Fabrice Meriaudeau
フォーマット: 論文
言語:English
出版事項: BMC 2017-06-01
シリーズ:BioMedical Engineering OnLine
主題:
DME detection
SD-OCT
Classification
HoG
LBP
BoW
オンライン･アクセス:http://link.springer.com/article/10.1186/s12938-017-0352-9

インターネット

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

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