Incorporation of a machine learning pathological diagnosis algorithm into the thyroid ultrasound imaging data improves the diagnosis risk of malignant thyroid nodules

OBJECTIVE: This study aimed at establishing a new model to predict malignant thyroid nodules using machine learning algorithms. METHODS: A retrospective study was performed on 274 patients with thyroid nodules who underwent fine-needle aspiration (FNA) cytology or surgery from October 2018 to 2020 i...

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Detalles Bibliográficos
Autores principales: Li, Wanying, Hong, Tao, Fang, Jianqiang, Liu, Wencai, Liu, Yuwen, He, Cunyu, Li, Xinxin, Xu, Chan, Wang, Bing, Chen, Yuanyuan, Sun, Chenyu, Li, Wenle, Kang, Wei, Yin, Chengliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774948/
https://www.ncbi.nlm.nih.gov/pubmed/36568189
http://dx.doi.org/10.3389/fonc.2022.968784

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774948/
https://www.ncbi.nlm.nih.gov/pubmed/36568189
http://dx.doi.org/10.3389/fonc.2022.968784

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