The methods employed in the three-dimensional reconstruction of tongue diagnosis encompass both classical techniques and deep learning techniques.By leveraging computer vision technology and image processing algorithms,two-dimensional tongue images can be transformed into three-dimensional models,enabling spatial quantification and accurate representation of various aspects such as the thickness of the tongue body,depth of tooth marks,thickness of tongue coating,length of cracks,and height of acu-puncture points.This meets the clinical demand for multi-angle and three-dimensional examination in tongue diagnosis while holding significant appli-cation value in advancing objective and intelligent approaches to this field through three-dimensional reconstruction techniques.Therefore,extracting dy-namic information from the tongue to construct a more realistic dynamic model becomes an important direction towards developing objective and three-dimensional analysis in tongue diagnosis.It also provides guidance for further research on objective and intelligent analysis in clinical disease identification,assisted treatment,prognosis evaluation based on tongue diagnosis.There were 41 references in total.
关键词
中医舌诊/三维重建技术/深度学习算法/特征提取/模型构建
Key words
tongue diagnosis of traditional Chinese medicine/three-dimensional reconstruction technology/deep learning algorithm/feature extraction/model construction
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