ArticleJournal of healthcare engineering2017
A Fast SVM-Based Tongue's Colour Classification Aided by
Article in Journal of healthcare engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 24 citations in OpenAlex.
- TongueCaps: An Improved Capsule Network Model for Multi-Classification of Tongue Color.Diagnostics (Basel, Switzerland) · 2022Article
- Relationship between thick or greasy tongue-coating microbiota and tongue diagnosis in patients with primary liver cancer.Frontiers in microbiology · 2022Article
- Clinical data mining on network of symptom and index and correlation of tongue-pulse data in fatigue population.BMC medical informatics and decision making · 2021Article
- A New Method for Syndrome Classification of Non-Small-Cell Lung Cancer Based on Data of Tongue and Pulse with Machine Learning.BioMed research international · 2021Article
- Advances in automated tongue diagnosis techniques.Integrative medicine research · 2019Review
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In tongue diagnosis, colour information of tongue body has kept valuable information regarding the state of disease and its correlation with the internal organs. Qualitatively, practitioners may have difficulty in their judgement due to the instable lighting condition and naked eye's ability to capture the exact colour distribution on the tongue especially the tongue with multicolour substance. To overcome this ambiguity, this paper presents a two-stage tongue's multicolour classification based on a support vector machine (SVM) whose support vectors are reduced by our proposed
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