A multi-step approach for tongue image classification in patients with diabetes

In China, diabetes is a common, high-incidence chronic disease. Diabetes has become a severe public health problem. However, the current diagnosis and treatment methods are difficult to control the progress of diabetes. Traditional Chinese Medicine (TCM) has become an option for the treatment of dia...

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Veröffentlicht in:	Computers in biology and medicine Jg. 149; S. 105935
Hauptverfasser:	Li, Jun, Huang, Jingbin, Jiang, Tao, Tu, Liping, Cui, Longtao, Cui, Ji, Ma, Xuxiang, Yao, Xinghua, Shi, Yulin, Wang, Sihan, Wang, Yu, Liu, Jiayi, Li, Yongzhi, Zhou, Changle, Hu, Xiaojuan, Xu, Jiatuo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.10.2022 Elsevier Limited
Schlagworte:	Accuracy Algorithms Artificial intelligence Automation Chronic illnesses Classification Cluster analysis Clustering Coating Coatings Confidentiality Deep learning Diabetes Diabetes mellitus Diabetic retinopathy Diagnosis Diagnostic systems Digital cameras Feature extraction Image classification Internal Medicine K-means Kidney diseases Labeling Learning Machine learning Medical imaging Other Patients Physicians Public health Software Standardization Supervised learning Tongue Tongue image Traditional Chinese medicine Vector quantization Vector quantized variational autoencoder Vision transformer Tongue image K-means Deep learning Vision transformer Machine learning Vector quantized variational autoencoder Diabetes
ISSN:	0010-4825, 1879-0534, 1879-0534
Online-Zugang:	Volltext
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