Biomedical Optics Express · 2014 · 509 citations · 38 references
ComputingComputer ScienceOphthalmologyBiomedical ImagingComputer VisionOcular ImagingComputer-aided DiagnosisMacular DegenerationMacular DiseaseMedical Image AnalysisOptical Coherence TomographySupport Vector MachinesAge-related Macular Degeneration DetectionAutomated Retinal Disease ClassificationComputer-aided Macular DiagnosisMachine Learning For Optical DiagnosisRemote Dermatologic DiagnosisRetinal Image ProcessingSupport Vector ClassificationSupport Vector Machine Classification
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.
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Corinna Cortes, Vladimir Vapnik · Machine Learning · 1995 · 33K citations · Full text
Histograms of Oriented Gradients for Human Detection
Navneet Dalal, Bill Triggs · 2005 · 31.9K citations · Full text