A Bayes-Based Region-Growing Algorithm for Medical Image Segmentation

Abstract

A new Bayesian-analysis-based region-growing algorithm for medical image segmentation can robustly and effectively segment medical images. Specifically, the approach studies homogeneity criterion parameters in a local neighbor region. Using the multislices Gaussian and anisotropic filters as a preprocess helps reduce an image's noise.