Analysis on the Research Approach and Trends of Medical Image Processing in China

• Published in: Journal of physics. Conference series Vol. 1550; no. 3; pp. 32053 - 32057
• Main Authors: Feng, Yibo, Qiu, Dawei, Cao, Hui, Zhang, Junzhong, Liu, Jing
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.05.2020
• Subjects: Artificial neural networks; Deep learning; High frequencies; Image processing; Image segmentation; Medical imaging; Medical research; Trends; China
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/1550/3/032053

In order to explore the research approach and hotspots in the field of medical image processing in China, the authors retrieved related literature in the field of medical image processing in China from 2009 to 2019 in CNKI database, and preprocessed the retrieved data. Then Citespace was used to analyze the retrieved data of 1363 documents from 2009 to 2019, the paper counted the basic situation of the article's publication time, subject, and analyzed the high frequency keywords, cited literatures with high frequency. The results show that the domestic medical image processing field has a high degree of attention to image segmentation, registration, and fusion. Deep learning, convolutional neural networks and transfer learning have been applied to medical image processing in recent years. This paper revealed domestic research trends in medical image processing, with a view to providing reference for research in medical image processing.