@article {382211,
	title = {Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images.},
	journal = {Biomed Opt Express},
	volume = {5},
	number = {10},
	year = {2014},
	month = {2014 Oct 1},
	pages = {3568-77},
	abstract = {We present a novel fully automated algorithm for the detection of retinal diseases via optical coherence tomography (OCT) imaging. Our algorithm utilizes multiscale histograms of oriented gradient descriptors as feature vectors of a support vector machine based classifier. The spectral domain OCT data sets used for cross-validation consisted of volumetric scans acquired from 45 subjects: 15 normal subjects, 15 patients with dry age-related macular degeneration (AMD), and 15 patients with diabetic macular edema (DME). Our classifier correctly identified 100\% of cases with AMD, 100\% cases with DME, and 86.67\% cases of normal subjects. This algorithm is a potentially impactful tool for the remote diagnosis of ophthalmic diseases.},
	issn = {2156-7085},
	doi = {10.1364/BOE.5.003568},
	author = {Srinivasan, Pratul P and Kim, Leo A and Mettu, Priyatham S and Cousins, Scott W and Comer, Grant M and Izatt, Joseph A and Farsiu, Sina}
}
