COMPARISON OF SUPPORT VECTOR MACHINES AND BAYESIAN NEURAL NETWORKS PERFORMANCE FOR BREAST TISSUES USING GEOSTATISTICAL FUNCTIONS IN MAMMOGRAPHIC IMAGES

DOI10.1142/S1469026810002914zbMath1213.68485OpenAlexW2095301785MaRDI QIDQ3070037

A. C. Paiva, Aristófanes Correa Silva, Geraldo Braz Junior, Leonardo de Oliveira Martins

Publication date: 2 February 2011

Published in: International Journal of Computational Intelligence and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s1469026810002914

zbMATH Keywords

support vector machinesCADbreast cancertexture analysissemivariogramBayesian neural networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Biomedical imaging and signal processing (92C55) Pattern recognition, speech recognition (68T10) Medical applications (general) (92C50)

Cites Work

• Monte Carlo sampling methods using Markov chains and their applications
• Hierarchical Bayesian Neural Networks
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