6533b82dfe1ef96bd1292034
RESEARCH PRODUCT
Validating retinal fundus image analysis algorithms: issues and a proposal.
Alfredo RuggeriNeil M. BresslerJean-pierre HubschmanHerbert F. JelinekDamon Wing Kee WongGilbert LimMichael D. AbràmoffGwenole QuellecEmanuele TruccoThomas P. KarnowskiDinesh KumarBashir Al-diriEdward ChaumPhilippe BurlinaCarol Y. CheungLuca GiancardoFabrice MeriaudeauTom MacgillivrayBaljean Dhillonsubject
Computer programFundus OculiCost effectivenessbusiness.industryComputer scienceReproducibility of ResultsContext (language use)Image processingArticlesG400 Computer ScienceReference StandardsSketchOphthalmoscopyConsistency (database systems)SoftwareRetinal DiseasesImage Processing Computer-AssistedHumansbusinessAlgorithmAlgorithmsSoftwareTest datadescription
This paper concerns the validation of automatic retinal image analysis (ARIA) algorithms. For reasons of space and consistency, we concentrate on the validation of algorithms processing color fundus camera images, currently the largest section of the ARIA literature. We sketch the context (imaging instruments and target tasks) of ARIA validation, summarizing the main image analysis and validation techniques. We then present a list of recommendations focusing on the creation of large repositories of test data created by international consortia, easily accessible via moderated Web sites, including multicenter annotations by multiple experts, specific to clinical tasks, and capable of running submitted software automatically on the data stored, with clear and widely agreed-on performance criteria, to provide a fair comparison.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2013-06-25 |