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Comparison of six machine learning methods for differentiating benign and malignant thyroid nodules using ultrasonographic characteristics.
Liang, Jianguang; Pang, Tiantian; Liu, Weixiang; Li, Xiaogang; Huang, Leidan; Gong, Xuehao; Diao, Xianfen.
Afiliação
  • Liang J; School of Pharmacy & School of Biological and Food Engineering, Changzhou University, Changzhou, Jiangsu, 213164, China. liangjg@cczu.edu.cn.
  • Pang T; Health Science Center, Shenzhen University, Shenzhen, 518060, China.
  • Liu W; School of Biomedical Engineering, Shenzhen University, Shenzhen, 518060, China.
  • Li X; Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen, 518060, China.
  • Huang L; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen, 518060, China.
  • Gong X; College of Computer Science and Technology, Jilin University, Changchun, 130012, China.
  • Diao X; Health Science Center, Shenzhen University, Shenzhen, 518060, China.
BMC Med Imaging ; 23(1): 154, 2023 10 12.
Article em En | MEDLINE | ID: mdl-37828438

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nódulo da Glândula Tireoide Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nódulo da Glândula Tireoide Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article