A Proposed Artificial Neural Network Classifier to Identify Tumor Metastases

Mathematics – General Mathematics

Scientific paper

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14 pages, 2 tables

Scientific paper

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.

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