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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
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 |
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