A Proposed Artificial Neural Network Classifier to Identify Tumor Metastases

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dc.creatorKhoshnevisan, M.
dc.creatorBhattacharya, Sukanto
dc.creatorSmarandache, Florentin
dc.date2002-12-09
dc.date.accessioned2026-07-07T04:53:38Z
dc.date.available2026-07-07T04:53:38Z
dc.descriptionIn 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.
dc.description14 pages, 2 tables
dc.identifierhttps://arxiv.org/abs/math/0212122
dc.identifierhttp://arxiv.org/abs/math/0212122
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/65929
dc.subjectGeneral Mathematics
dc.subject60G35, 03B52
dc.titleA Proposed Artificial Neural Network Classifier to Identify Tumor Metastases
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