6533b7cffe1ef96bd1258476

RESEARCH PRODUCT

Novel VAMPIRE algorithms for quantitative analysis of the retinal vasculature

Kris ZutisDevanjali RelanEnrico PellegriniP. J. WilsonGraeme RobertsonCarmen Alina LupascuLucia BalleriniAlex S. F. DoneyEmanuele TruccoAndrea GiachettiBaljean DhillonDomenico TegoloTom Macgillivray

subject

retinaRetinaSettore INF/01 - InformaticaContextual image classificationbusiness.industryComputer scienceVampireRetinalImage segmentationClassificationFeature detectionRetina; Feature detection; Segmentation; Classification; Biomarkerschemistry.chemical_compoundSegmentationmedicine.anatomical_structurechemistrymedicineSegmentationComputer visionArtificial intelligencebusinessAlgorithmBiomarkersOptic discFeature detection (computer vision)

description

This paper summarizes three recent, novel algorithms developed within VAMPIRE, namely optic disc and macula detection, arteryvein classification, and enhancement of binary vessel masks, and their performance assessment. VAMPIRE is an international collaboration growing a suite of software tools to allow efficient quantification of morphological properties of the retinal vasculature in large collections of fundus camera images. VAMPIRE measurements are currently mostly used in biomarker research, i.e., investigating associations between the morphology of the retinal vasculature and a number of clinical and cognitive conditions.

yearjournalcountryeditionlanguage
2013-02-012013 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC)
https://doi.org/10.1109/brc.2013.6487552