中医药信息2026，Vol.43Issue(2)：24-30,7.DOI:10.19656/j.cnki.1002-2406.20260205
基于深度学习的智能中药处方识别与配伍禁忌分析系统
An Intelligent Traditional Chinese Medicine Prescription Recognition and Incompatibility Analysis System Based on Deep Learning
摘要
Abstract
Objective To construct a system for recognizing traditional Chinese medicine prescriptions and analyzing incompatibility based on deep learning,thereby meeting the demands of digitalization and intelligence of traditional Chinese medicine prescriptions.Methods Firstly,a self-built dataset of traditional Chinese medicine prescriptions was constructed,and the image quality was improved through image binarization,denoising and super-resolution techniques.Secondly,the improved CTPN model and CRNN model were used to achieve precise and efficient detection and recognition of prescription text,and the association rule mining was combined to analyze the incompatibility of traditional Chinese medicine.Based on the theory of nature,taste,and channel tropism,the compatibility rules of traditional Chinese medicine were revealed to provide support for safe medication.Finally,an interactive system was built based on the Gradio framework to implement the functions of prescription image upload,text recognition,and compatibility analysis.Results The CTPN and CRNN models demonstrated good performance,achieving accuracy rates of 93.34%and 92.58%,respectively.Conclusion This traditional Chinese medicine prescription recognition and incompatibility analysis system based on deep learning performed well in the tasks of text detection and recognition and had the ability to assist in the discrimination of incompatibility.关键词
中药处方识别/深度学习/CTPN/CRNN/配伍禁忌Key words
Traditional Chinese medicine prescription recognition/Deep learning/CTPN/CRNN/Incompatibility引用本文复制引用
郭灿璨,朱玉祥,王沛,温智斌..基于深度学习的智能中药处方识别与配伍禁忌分析系统[J].中医药信息,2026,43(2):24-30,7.基金项目
河南省医学科技攻关项目(LHGJ20231010,LHGJ20241007) （LHGJ20231010,LHGJ20241007）
河南省高等学校重点科技项目(24B520022) （24B520022）
黄淮学院青年骨干教师计划项目(20230264025) （20230264025）
