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Detection and classification of breast lesions using multiple information on contrast-enhanced mammography by a multiprocess deep-learning system: A multicenter study.
Chen, Yuqian; Hua, Zhen; Lin, Fan; Zheng, Tiantian; Zhou, Heng; Zhang, Shijie; Gao, Jing; Wang, Zhongyi; Shao, Huafei; Li, Wenjuan; Liu, Fengjie; Wang, Simin; Zhang, Yan; Zhao, Feng; Liu, Hao; Xie, Haizhu; Ma, Heng; Zhang, Haicheng; Mao, Ning.
Afiliação
  • Chen Y; School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai 264005, China.
  • Hua Z; School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai 264005, China.
  • Lin F; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China.
  • Zheng T; School of Medical Imaging, Binzhou Medical University, Yantai 264003, China.
  • Zhou H; School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai 264005, China.
  • Zhang S; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China.
  • Gao J; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China.
  • Wang Z; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China.
  • Shao H; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China.
  • Li W; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China.
  • Liu F; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China.
  • Wang S; Department of Radiology, Fudan University Cancer Center, Shanghai 200433; China.
  • Zhang Y; Department of Radiology, Guangdong Maternal and Child Health Hospital, Guangzhou 510010, China.
  • Zhao F; School of Computer Science and Technology, Shandong Technology and Business University, Yantai 264005, China.
  • Liu H; Yizhun Medical AI Co. Ltd., Beijing 100080, China.
  • Xie H; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China.
  • Ma H; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China.
  • Zhang H; Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China.
  • Mao N; Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai 264000, China.
Chin J Cancer Res ; 35(4): 408-423, 2023 Aug 30.
Article em En | MEDLINE | ID: mdl-37691895
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Diagnostic_studies Idioma: En Revista: Chin J Cancer Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Diagnostic_studies Idioma: En Revista: Chin J Cancer Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China