Adapting Numerical Representations of Lung Contours Using Case-Based Reasoning and Artificial Neural Networks-Reference-Cited by-同舟云学术

Adapting Numerical Representations of Lung Contours Using Case-Based Reasoning and Artificial Neural Networks

Published:2012 Issue: Volume: Page:137-151
ISSN:0302-9743
Container-title:Case-Based Reasoning Research and Development
language:
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Author:

Henriet Julien,Leni Pierre-Emmanuel,Laurent Rémy,Roxin Ana,Chebel-Morello Brigitte,Salomon Michel,Farah Jad,Broggio David,Franck Didier,Makovicka Libor

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-32986-9_12.pdf

Reference24 articles.

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2. Huet, C., Lemosquet, A., Clairand, I., Rioual, J.B., Franck, D., de Carlan, L., Aubineau-Lanièce, I., Bottollier-Depois, J.F.: SESAME: a software tool for the numerical dosimetric reconstruction of radiological accidents involving external sources and its application to the accident in Chile in December 2005. Health Phys. 96, 76–83 (2009)

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4. McCulloch, W., Pitts, W.: A logical calculus of ideas immanent in nervous activity. Bulletin of Mathematical Biophysics 5, 115–133 (1943)

5. ICRP89. Basic anatomical and physiological data for use in radiological protection. International Commission on Radiological Protection Publication 89 (2002)

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