Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images.

@article{Srinivasan2014FullyAD,
  title={Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images.},
  author={Pratul P Srinivasan and Leo A Kim and Priyatham S. Mettu and Scott W. Cousins and Grant M Comer and Joseph A. Izatt and Sina Farsiu},
  journal={Biomedical optics express},
  year={2014},
  volume={5 10},
  pages={3568-77}
}
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… CONTINUE READING
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