Accurate estimation of retinal vessel width using bagged decision trees and an extended multiresolution Hermite model
New method for estimating the width of retinal vessels in fundus camera images. Novel parametric surface model of the cross-sectional intensities of vessels. Ensembles of bagged decision trees to estimate the local width from the parameters of the best-fit surface. The quantitative evaluation demonstrates the accuracy and robustness of the approach. Criteria for selecting a training set yielding optimal width accuracy.
vessel width multiresolution hermite model ensembles of bagged decision trees retinal images medical image analysis