基于复杂网络对舌、面诊图像特征提取及分割分类文献的可视化研究

Visualized Analysis of Tongue and Face Diagnosis Image Feature Extraction,Segmentation and Classification Based on Complex Network

目的对舌、面诊图像特征提取及分割分类研究的相关文章进行总结分析,探究该领域的研究热点及发展前沿趋势,为今后的舌、面诊图像处理相关研究提供思路。方法以中国知网为数据来源,根据排纳标准和检索策略,最终纳入文献439篇,最后采用Gephi绘图软件对相关文献的作者、研究机构以及关键词进行共词网络可视化分析。结果结合年发文量可知整体发文量较少,但总体趋势呈平稳上升;研究团队主要以李福凤、张新峰、许家佗、王忆勤和王泓午等的团队为代表;研究机构多为地区性医工交叉的合作形式。结论研究热点趋势向深度学习的图像处理方向发展,同时跨地区跨机构之间的团队合作有待加强,进一步推动多学科交叉融合及中医望诊(舌、面诊)智能客观定量化发展。

Objective To summarize and analyze relevant literature on image feature extraction,segmentation,and classification of tongue and facial diagnosis,we explore the research hotspots and development trends in this field and provide ideas for future research on image processing of tongue and facial diagnosis.Methods China National Knowledge Infrastructure was used as the data source,and 439 papers were included according to the exclusion criteria,the inclusion criteria,and the search strategy.Finally,Gephi software was applied to visualize and analyze the co-word network of authors,research institutions,and keywords of relevant literature.Results The overall number of articles issued is low as seen in the annual volume,but the overall trend is steadily increasing.The research team is mainly represented by the team of Li Fufeng,Zhang Xinfeng,Xu Jiatuo,Wang Yiqin,and Wang Hongwu.Most of the research institutes are regional medical-industrial crossover collaborations.Conclusion Hot research trends gradually toward deep learning for image processing.Meanwhile,teamwork across regions and institutions needs to be strengthened.It is recommended to further promote the development of multidisciplinary cross-fertilization and intelligent and objective quantification of Traditional Chinese Medicine diagnosis(tongue and face diagnosis).