Visual Graphic Analysis of Imaging Diagnostic Analysis Research Literature Based on CiteSpace Bibliometrics

Abstract

Artificial intelligence is a subject that combines statistics, computer science and other disciplines with strong applicability and expansion. Its branches, such as deep learning, play an indispensable role in auxiliary diagnosis, and there are many research achievements in image diagnosis and analysis. The purpose of this paper is to use CiteSpace information visualization software to visualize and analyze about 5,600 articles from Web of Science, and to study the cooperative network, co-occurrence network and co-citation network of imaging diagnostic analysis literature. This paper analyzes the cooperation situation, research hotspots, research frontiers and development trends among countries, research institutions and researchers, puts forward corresponding suggestions for the future development trend, and compares and analyzes the literature information in this field at home and abroad in recent years. At the same time, the paper puts forward three development problems, such as the lack of representative scholars, the lack of training data, and the bottleneck of research progress in this field, and puts forward corresponding solutions, such as promoting policy guidance to encourage scientific research cooperation, using image enhancement technology, and promoting the development of brain science.

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