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Relationships Between Diurnal Changes of Tongue Coating Microbiota and Intestinal Microbiota
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In: Front Cell Infect Microbiol (2022)
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Relationships between syntactic awareness and writing ability for adult ESL learners. ...
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Li, Ping. - : University of Canterbury, 2021
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Modeling Bilingual Lexical Processing Through Code-Switching Speech: A Network Science Approach
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In: Front Psychol (2021)
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Corrigendum: Modeling Bilingual Lexical Processing Through Code-Switching Speech: A Network Science Approach
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In: Front Psychol (2021)
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Relationships between syntactic awareness and writing ability for adult ESL learners.
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Li, Ping. - : University of Canterbury, 2021
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A New Method for Syndrome Classification of Non-Small-Cell Lung Cancer Based on Data of Tongue and Pulse with Machine Learning
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In: Biomed Res Int (2021)
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Tongue image quality assessment based on a deep convolutional neural network
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In: BMC Med Inform Decis Mak (2021)
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Abstract:
BACKGROUND: Tongue diagnosis is an important research field of TCM diagnostic technology modernization. The quality of tongue images is the basis for constructing a standard dataset in the field of tongue diagnosis. To establish a standard tongue image database in the TCM industry, we need to evaluate the quality of a massive number of tongue images and add qualified images to the database. Therefore, an automatic, efficient and accurate quality control model is of significance to the development of intelligent tongue diagnosis technology for TCM. METHODS: Machine learning methods, including Support Vector Machine (SVM), Random Forest (RF), Gradient Boosting Decision Tree (GBDT), Adaptive Boosting Algorithm (Adaboost), Naïve Bayes, Decision Tree (DT), Residual Neural Network (ResNet), Convolution Neural Network developed by Visual Geometry Group at University of Oxford (VGG), and Densely Connected Convolutional Networks (DenseNet), were utilized to identify good-quality and poor-quality tongue images. Their performances were made comparisons by using metrics such as accuracy, precision, recall, and F1-Score. RESULTS: The experimental results showed that the accuracy of the three deep learning models was more than 96%, and the accuracy of ResNet-152 and DenseNet-169 was more than 98%. The model ResNet-152 obtained accuracy of 99.04%, precision of 99.05%, recall of 99.04%, and F1-score of 99.05%. The performances were better than performances of other eight models. The eight models are VGG-16, DenseNet-169, SVM, RF, GBDT, Adaboost, Naïve Bayes, and DT. ResNet-152 was selected as quality-screening model for tongue IQA. CONCLUSIONS: Our research findings demonstrate various CNN models in the decision-making process for the selection of tongue image quality assessment and indicate that applying deep learning methods, specifically deep CNNs, to evaluate poor-quality tongue images is feasible.
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Keyword:
Research Article
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URL: https://doi.org/10.1186/s12911-021-01508-8
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097848/
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Experiences of primary care physicians managing postpartum care: a qualitative research study
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In: BMC Fam Pract (2021)
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Predictors for detecting chronic respiratory diseases in community surveys: A pilot cross-sectional survey in four South and South East Asian low- and middle-income countries
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In: J Glob Health (2021)
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A Network Science Approach to Bilingual Code-switching
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In: Proceedings of the Society for Computation in Linguistics (2021)
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Chinese Family Culture Translated and Reconstructed : A case study of the English translations of Chinese fictions to Britain and America
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Li, Ping [Verfasser]. - Saarbrücken : LAP LAMBERT Academic Publishing, 2020
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DNB Subject Category Language
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Interactive Echocardiography Translation Using Few-Shot GAN Transfer Learning
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Additional file 1: of Evaluation of scrub typhus diagnosis in China: analysis of nationwide surveillance data from 2006 to 2016 ...
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Additional file 1: of Evaluation of scrub typhus diagnosis in China: analysis of nationwide surveillance data from 2006 to 2016 ...
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Mechanisms for Auditory Perception: A Neurocognitive Study of Second Language Learning of Mandarin Chinese
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| 17 |
Computational modeling
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In: Research methods in psycholinguistics and the neurobiology of language (Hoboken, NJ, 2018), p. 208-229
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MPI für Psycholinguistik
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A Nationwide Study Comparing Knowledge and Beliefs about HPV among Female Students before and after HPV Vaccination
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In: Author (2018)
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Structural Brain Changes as a Function of Second Language Vocabulary Training: Effects of Learning Context ...
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