Automatic differentiation of color fundus images containing drusen or exudates using a contextual spatial pyramid approach
SourceBiomedical Optics Express, 7, 3, (2016), pp. 709-725
Article / Letter to editor
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Biomedical Optics Express
SubjectRadboudumc 0: Other Research DCMN: Donders Center for Medical Neuroscience; Radboudumc 12: Sensory disorders DCMN: Donders Center for Medical Neuroscience; Radboudumc 12: Sensory disorders RIHS: Radboud Institute for Health Sciences; Radboudumc 9: Rare cancers RIHS: Radboud Institute for Health Sciences
We developed an automatic system to identify and differentiate color fundus images containing no lesions, drusen or exudates. Drusen and exudates are lesions with a bright appearance, associated with age-related macular degeneration and diabetic retinopathy, respectively. The system consists of three lesion detectors operating at pixel-level, combining their outputs using spatial pooling and classification with a random forest classifier. System performance was compared with ratings of two independent human observers using human-expert annotations as reference. Kappa agreements of 0.89, 0.97 and 0.92 and accuracies of 0.93, 0.98 and 0.95 were obtained for the system and observers, respectively.
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