Your browser doesn't support javascript.
loading
Correction: Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study.
Zhu, Yangyang; Meng, Zheling; Wu, Hao; Fan, Xiao; Lv, Wenhao; Tian, Jie; Wang, Kun; Nie, Fang.
Afiliação
  • Zhu Y; Medical Center of Ultrasound, Lanzhou University Second Hospital, Lanzhou, China.
  • Meng Z; CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Wu H; CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Fan X; School of Artificial Intelligence, University of the Chinese Academy of Sciences School, Beijing, China.
  • Lv W; Medical Center of Ultrasound, Lanzhou University Second Hospital, Lanzhou, China.
  • Tian J; Medical Center of Ultrasound, Lanzhou University Second Hospital, Lanzhou, China.
  • Wang K; Medical Center of Ultrasound, Lanzhou University Second Hospital, Lanzhou, China.
  • Nie F; CAS Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Ultraschall Med ; 45(3): e2, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38216132
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article