Automated lesion detectors in retinal fundus images
A novel computer-aided decision support system for diabetic retinopathy using retinal fundus images is proposed. Microaneurysm, hemorrhage and bright lesion binary classifier detectors are devised. Validation of the system on large datasets using standard measures is performed.
retinal fundus image microaneurysm detector hemorrhage detector bright lesion detector computer-aided diagnosis wavelets multiscale analysis variational segmentation cartoon+texture decomposition