Construction of an Artificial Intelligence Model and Application for an Automatic Recognition of Traditional Chinese Medicine Herbals Based on Convolutional Neural Networks

Construction of an Artificial Intelligence Model and Application for an Automatic Recognition of Traditional Chinese Medicine Herbals Based on Convolutional Neural Networks

Background Conventional methods for identifying traditional Chinese medicine (TCM) herbals mainly rely on subjective experiences, making it difficult to meet the needs for accurate classification and identification. Objective This study aims to develop an artificial intelligence model and a desktop...

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Bibliographic Details
Main Author: WANG Ganhong, ZHANG Zihao, XI Meijuan, XIA Kaijian, ZHOU Yanting, CHEN Jian
Format: Article
Language:zho
Published: Chinese General Practice Publishing House Co., Ltd 2025-03-01
Series:Zhongguo quanke yixue
Subjects:
traditional chinese medicine herbals|pattern recognition, automated|materia medica science (tcd)|application|artificial intelligence|pyqt5|convolutional neural networks
Online Access:https://www.chinagp.net/fileup/1007-9572/PDF/2024-070414.pdf
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https://www.chinagp.net/fileup/1007-9572/PDF/2024-070414.pdf

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