Your browser doesn't support javascript.
loading
Multitask Deep Learning-Based Whole-Process System for Automatic Diagnosis of Breast Lesions and Axillary Lymph Node Metastasis Discrimination from Dynamic Contrast-Enhanced-MRI: A Multicenter Study.
Zhou, Heng; Hua, Zhen; Gao, Jing; Lin, Fan; Chen, Yuqian; Zhang, Shijie; Zheng, Tiantian; Wang, Zhongyi; Shao, Huafei; Li, Wenjuan; Liu, Fengjie; Li, Qin; Chen, Jingjing; Wang, Ximing; Zhao, Feng; Qu, Nina; Xie, Haizhu; Ma, Heng; Zhang, Haicheng; Mao, Ning.
Afiliación
  • Zhou H; School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, Shandong, China.
  • Hua Z; School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, Shandong, China.
  • Gao J; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China.
  • Lin F; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China.
  • Chen Y; School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, Shandong, China.
  • Zhang S; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China.
  • Zheng T; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China.
  • Wang Z; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China.
  • Shao H; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China.
  • Li W; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China.
  • Liu F; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China.
  • Li Q; Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Chen J; Department of Radiology, Qingdao University Affiliated Hospital, Qingdao, Shandong, China.
  • Wang X; Department of Radiology, Shandong Provincial Hospital, Jinan, Shandong, China.
  • Zhao F; School of Computer Science and Technology, Shandong Technology and Business University, Yantai, Shandong, China.
  • Qu N; Department of Ultrasound, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China.
  • Xie H; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China.
  • Ma H; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China.
  • Zhang H; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China.
  • Mao N; Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, Shandong, China.
J Magn Reson Imaging ; 59(5): 1710-1722, 2024 May.
Article en En | MEDLINE | ID: mdl-37497811
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Aprendizaje Profundo Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Aprendizaje Profundo Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos