Artificial neural network analysis for evaluating cancer risk in multinodular goiter

Artificial neural network analysis for evaluating cancer risk in multinodular goiter

Background: The aim of this study was to create a diagnostic model using the artificial neural networks (ANNs) to predict malignancy in multinodular goiter patients with an indeterminate cytology. Materials and Methods: Out of 623 patients, 411 evaluated for multinodular goiter between July 2004 and...

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Bibliographic Details
Main Authors: Baris Saylam, Mehmet Keskek, Sönmez Ocak, Ali Osman Akten, Mesut Tez
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2013-01-01
Series:Journal of Research in Medical Sciences
Subjects:
Artificial neural network
fine-needle aspiration
ındeterminate cytology
multinodular goiter
thyroid
Online Access:http://www.jmsjournal.net/article.asp?issn=1735-1995;year=2013;volume=18;issue=7;spage=554;epage=557;aulast=Saylam

Internet

http://www.jmsjournal.net/article.asp?issn=1735-1995;year=2013;volume=18;issue=7;spage=554;epage=557;aulast=Saylam

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