Diagnostic Value of Machine Learning-Based Quantitative Texture Analysis in Differentiating Benign and Malignant Thyroid Nodules

AIM: The aim of this study is to evaluate the diagnostic value of machine learning- (ML-) based quantitative texture analysis in the differentiation of benign and malignant thyroid nodules. MATERIALS AND METHODS: A sum of 306 quantitative textural features of 235 thyroid nodules (102 malignant, 43.4...

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Detalles Bibliográficos
Autores principales: Colakoglu, Bulent, Alis, Deniz, Yergin, Mert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874925/
https://www.ncbi.nlm.nih.gov/pubmed/31781216
http://dx.doi.org/10.1155/2019/6328329

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874925/
https://www.ncbi.nlm.nih.gov/pubmed/31781216
http://dx.doi.org/10.1155/2019/6328329

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