A bibliometrics study of literature on medical image processing for the past ten years.
- Author:
Wei CHEN
;
Yanbin WANG
;
Zhaolian OUYANG
;
Wenjiao GUO
;
Hui CHI
- Publication Type:Journal Article
- MeSH:
Algorithms;
Bibliometrics;
Cluster Analysis;
Diagnostic Imaging;
trends;
Humans;
Image Processing, Computer-Assisted;
trends;
International Cooperation
- From:Journal of Biomedical Engineering
2014;31(1):113-119
- CountryChina
- Language:Chinese
-
Abstract:
We searched and retrieved literature on the topic of medical image processing published on SCI journals in the past 10 years. We then imported the retrieved literature into TDA for data cleanup before data analysis and pro cessing by EXCLE and UCINET to generate tables and figures that could indicate disciplinary correlation and research hotspots from the perspective of bibliometrics. The results indicated that people in Europe and USA were leading researchers on medical image processing with close international cooperation. Many disciplines contributed to the fast development of medical image processing with intense interdisciplinary researches. The papers that we found show recent research hotspots of the algorithm, system, model, image and segmentation in the field of medical image processing. Cluster analysis on key words of high frequency demonstrated complicated clustering relationship.
