基于机器学习的舌象形质诊断分析研究现状与展望OA
Research status and prospect of tongue image diagnosis analysis based on machine learning
基于图像的智能化诊断是中医舌诊现代化研究的重要方向.近年来,以卷积神经网络(CNNs)、Transformers等深度学习为代表的机器学习方法被广泛应用于电子计算机断层扫描(CT)、核磁共振成像(MRI)等医学影像图像分析领域,使得临床决策更加高效和精准.先进的人工智能技术也为中医舌诊医疗器械研发和数字化中医舌诊方法创造了新的机遇,促进了中医舌诊的标准化和智能化.经典图像分析方法实现了舌象的颜色数据化表达,但对于复杂的舌象形质特征如齿痕、点刺、裂…查看全部>>
Image-based intelligent diagnosis represents a trending research direction in the field of tongue diagnosis in traditional Chinese medicine(TCM).In recent years,machine learning techniques,including convolutional neural networks(CNNs)and Transformers,have been widely used in the analysis of medical images,such as computed tomography(CT)and nucle-ar magnetic resonance imaging(MRI).These techniques have significantly enhanced the effi-ciency and accuracy of de…查看全部>>
许家佗;江涛;刘实
上海中医药大学中医学院,上海 201203,中国上海中医药大学中医学院,上海 201203,中国上海中医药大学中医学院,上海 201203,中国
舌象图像形质特征深度学习智能诊断舌诊
Tongue imageShape and texture featureDeep learningIntelligent diagnosisTongue diagnosis
《数字中医药（英文）》 2024 (1)
3-12,10
National Natural Science Foundation of China(82104738),Capacity Building of Local Colleges and Uni-versities under the Shanghai Municipal Science and Technology Commission(21010504400),and Space Sta-tion Engineering Aerospace Medical Experiment Project(HYZHXM05001).
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