A Proposed Artificial Neural Network Classifier to Identify Tumor Metastases

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In this paper we propose a classification scheme to isolate truly benign tumors from those that initially start off as benign but subsequently show metastases. A non-parametric artificial neural network methodology has been chosen because of the analytical difficulties associated with extraction of closed-form stochastic-likelihood parameters given the extremely complicated and possibly non-linear behavior of the state variables.
14 pages, 2 tables

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General Mathematics, 60G35, 03B52

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http://salesiana.dossiersoluciones.com/handle/123456789/65929

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/math/0212122
 http://arxiv.org/abs/math/0212122

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arXiv