Cargando…
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...
Autores principales: | Saylam, Baris, Keskek, Mehmet, Ocak, Sönmez, Akten, Ali Osman, Tez, Mesut |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3897020/ https://www.ncbi.nlm.nih.gov/pubmed/24516485 |
Ejemplares similares
-
Massive multinodular goiter with stridor
por: Kumar, K.V.S. Hari, et al.
Publicado: (2012) -
Risk Factors for Malignancy in Patients with Multinodular Goiter
por: Fernandes, Guilherme Arruda, et al.
Publicado: (2022) -
Non-Toxic Multinodular Goiter: From Etiopathogenesis to Treatment
por: Unlu, Mehmet Taner, et al.
Publicado: (2022) -
Congenital thyroid hemiagenesis with multinodular goiter
por: Bhartiya, SK, et al.
Publicado: (2014) -
Differential gene expression profile of multinodular goiter
por: de Figueiredo, Wenberger Lanza Daniel, et al.
Publicado: (2022)