Visualized Analysis of Tongue and Face Diagnosis Image Feature Extraction,Segmentation and Classification Based on Complex Network
10.11842/wst.20230419008
- VernacularTitle: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
- Author:
Huilin LIU
1
;
Ji HAN
;
Fufeng LI
Author Information
1. 上海中医药大学中医学院 上海 201203
- Keywords:
Face images;
Tongue images;
Feature extraction;
Segmentation and classification;
Research status;
Research hotspots;
Visualization
- From:
World Science and Technology-Modernization of Traditional Chinese Medicine
2024;26(5):1336-1343
- CountryChina
- Language:Chinese
-
Abstract:
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).
