6533b7dcfe1ef96bd1271f1d
RESEARCH PRODUCT
Shape-Based Features for Cat Ganglion Retinal Cells Classification
Julia Sawaki TanakaJulia Sawaki TanakaGiosuè Lo BoscoCesare ValentiRegina Célia CoelhoRegina Célia CoelhoVito Di Gesùsubject
Convex hullSettore INF/01 - InformaticaComputer sciencebusiness.industryFeature extractionPattern recognitionComputational geometryFractal dimensionbody regionsFractalHistogramSignal ProcessingGenetic algorithmComputer visionMedical imagingComputer Vision and Pattern RecognitionArtificial intelligenceElectrical and Electronic EngineeringCells classificationCluster analysisbusinessdescription
This article presents a quantitative and objective approach to cat ganglion cell characterization and classification. The combination of several biologically relevant features such as diameter, eccentricity, fractal dimension, influence histogram, influence area, convex hull area, and convex hull diameter are derived from geometrical transforms and then processed by three different clustering methods (Ward’s hierarchical scheme, K-means and genetic algorithm), whose results are then combined by a voting strategy. These experiments indicate the superiority of some features and also suggest some possible biological implications.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2002-06-01 | Real-Time Imaging |