Your browser doesn't support javascript.
loading
Quantitative analysis of artificial intelligence on liver cancer: A bibliometric analysis.
Xiong, Ming; Xu, Yaona; Zhao, Yang; He, Si; Zhu, Qihan; Wu, Yi; Hu, Xiaofei; Liu, Li.
Affiliation
  • Xiong M; Department of Digital Medicine, School of Biomedical Engineering and Medical Imaging, Third Military Medical University (Army Medical University), Chongqing, China.
  • Xu Y; Department of Digital Medicine, School of Biomedical Engineering and Medical Imaging, Third Military Medical University (Army Medical University), Chongqing, China.
  • Zhao Y; Department of Digital Medicine, School of Biomedical Engineering and Medical Imaging, Third Military Medical University (Army Medical University), Chongqing, China.
  • He S; Department of Digital Medicine, School of Biomedical Engineering and Medical Imaging, Third Military Medical University (Army Medical University), Chongqing, China.
  • Zhu Q; Department of Digital Medicine, School of Biomedical Engineering and Medical Imaging, Third Military Medical University (Army Medical University), Chongqing, China.
  • Wu Y; Department of Digital Medicine, School of Biomedical Engineering and Medical Imaging, Third Military Medical University (Army Medical University), Chongqing, China.
  • Hu X; Department of Nuclear Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
  • Liu L; Department of Digital Medicine, School of Biomedical Engineering and Medical Imaging, Third Military Medical University (Army Medical University), Chongqing, China.
Front Oncol ; 13: 990306, 2023.
Article in En | MEDLINE | ID: mdl-36874099
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Front Oncol Year: 2023 Document type: Article Affiliation country: China Country of publication: Switzerland
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Front Oncol Year: 2023 Document type: Article Affiliation country: China Country of publication: Switzerland