Radial Basis Function Artificial Neural Network for the Investigation of Thyroid Cytological Lesions

OBJECTIVE: This study investigates the potential of an artificial intelligence (AI) methodology, the radial basis function (RBF) artificial neural network (ANN), in the evaluation of thyroid lesions. Study Design. The study was performed on 447 patients who had both cytological and histological eval...

Descripción completa

Detalles Bibliográficos
Autores principales: Fragopoulos, Christos, Pouliakis, Abraham, Meristoudis, Christos, Mastorakis, Emmanouil, Margari, Niki, Chroniaris, Nicolaos, Koufopoulos, Nektarios, Delides, Alexander G., Machairas, Nicolaos, Ntomi, Vasileia, Nastos, Konstantinos, Panayiotides, Ioannis G., Pikoulis, Emmanouil, Misiakos, Evangelos P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707952/
https://www.ncbi.nlm.nih.gov/pubmed/33299540
http://dx.doi.org/10.1155/2020/5464787

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707952/
https://www.ncbi.nlm.nih.gov/pubmed/33299540
http://dx.doi.org/10.1155/2020/5464787

Ejemplares similares