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    Article

    Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery

    In this paper, we applied Bayesian multi-layer perceptrons (MLP) using the evidence procedure to predict malignancy of ovarian masses in a large (n = 1,066) multi-centre data set. Automatic relevance determinatio...

    Ben Van Calster, Dirk Timmerman, Ian T. Nabney in Neural Computing and Applications (2008)

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    Chapter and Conference Paper

    Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors

    We describe a methodology based on a dual Belief Network-Multilayer Perceptron representation to build Bayesian classifiers. This methodology combines efficiently the prior domain knowledge and statistical dat...

    Peter Antal, Geert Fannes, Bart De Moor in Artificial Intelligence in Medicine (2001)