6533b854fe1ef96bd12aebbb
RESEARCH PRODUCT
Microaneurysm detection with radon transform-based classification on retina images.
Kenneth W. TobinFabrice MeriaudeauLuca GiancardoEdward ChaumY. LiThomas P. Karnowskisubject
Retinal ArteryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSensitivity and SpecificityPattern Recognition AutomatedImage Interpretation Computer-AssistedmedicineMedical imagingPreprocessorHumansSegmentationComputer visionMicroaneurysmDiabetic RetinopathyContextual image classificationRadon transformbusiness.industryReproducibility of ResultsImage segmentationmedicine.diseaseImage EnhancementAneurysmArtificial intelligencebusinessAlgorithmsRetinopathyRetinoscopydescription
The creation of an automatic diabetic retinopathy screening system using retina cameras is currently receiving considerable interest in the medical imaging community. The detection of microaneurysms is a key element in this effort. In this work, we propose a new microaneurysms segmentation technique based on a novel application of the radon transform, which is able to identify these lesions without any previous knowledge of the retina morphological features and with minimal image preprocessing. The algorithm has been evaluated on the Retinopathy Online Challenge public dataset, and its performance compares with the best current techniques. The performance is particularly good at low false positive ratios, which makes it an ideal candidate for diabetic retinopathy screening systems.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-01-19 |