Bayesian and non-Bayesian probabilistic models for medical image analysis

Abstract

Bayesian approaches to data analysis are popular in machine vision, and yet the main advantage of Bayes theory, the ability to incorporate prior knowledge in the form of the prior probabilities, may lead to problems in some quantitative tasks. In this paper we demonstrate examples of Bayesian and non-Bayesian techniques from the area of magnetic resonance… (More)
DOI: 10.1016/S0262-8856(03)00072-6

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