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Differentiation between Phyllodes Tumors and Fibroadenomas through Breast Ultrasound: Deep-Learning Model Outperforms Ultrasound Physicians.
Shi, Zhaoting; Ma, Yebo; Ma, Xiaowen; Jin, Anqi; Zhou, Jin; Li, Na; Sheng, Danli; Chang, Cai; Chen, Jiangang; Li, Jiawei.
Afiliação
  • Shi Z; Department of Oncology, Shanghai Medical College, Fudan University, No. 270, Dong'an Road, Xuhui District, Shanghai 200032, China.
  • Ma Y; Department of Medical Ultrasound, Fudan University Shanghai Cancer Center, No. 270, Dong'an Road, Xuhui District, Shanghai 200032, China.
  • Ma X; Shanghai Key Laboratory of Multidimensional Information Processing, School of Communication and Electronic Engineering, East China Normal University, No. 500, Dongchuan Road, Shanghai 200241, China.
  • Jin A; Department of Oncology, Shanghai Medical College, Fudan University, No. 270, Dong'an Road, Xuhui District, Shanghai 200032, China.
  • Zhou J; Department of Radiology, Fudan University Shanghai Cancer Center, No. 270, Dong'an Road, Xuhui District, Shanghai 200032, China.
  • Li N; Department of Oncology, Shanghai Medical College, Fudan University, No. 270, Dong'an Road, Xuhui District, Shanghai 200032, China.
  • Sheng D; Department of Medical Ultrasound, Fudan University Shanghai Cancer Center, No. 270, Dong'an Road, Xuhui District, Shanghai 200032, China.
  • Chang C; Department of Oncology, Shanghai Medical College, Fudan University, No. 270, Dong'an Road, Xuhui District, Shanghai 200032, China.
  • Chen J; Department of Medical Ultrasound, Fudan University Shanghai Cancer Center, No. 270, Dong'an Road, Xuhui District, Shanghai 200032, China.
  • Li J; Department of Oncology, Shanghai Medical College, Fudan University, No. 270, Dong'an Road, Xuhui District, Shanghai 200032, China.
Sensors (Basel) ; 23(11)2023 May 26.
Article em En | MEDLINE | ID: mdl-37299826

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article