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Related Concept Videos

Tongue01:01

Tongue

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The human tongue is a fascinating and complex organ, responsible for various essential functions such as swallowing, speech, and taste. It is also subject to various conditions and diseases. In this article, we delve into the anatomy of the tongue, its roles, and some common conditions that can affect it.
Anatomical Position in the Oral Cavity
The tongue is located within the oral cavity, also known as the mouth. It is attached to the floor of the mouth by a fold of mucous membrane called the...
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The Tongue and Taste Buds00:49

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The surface of the tongue is covered with various small bumps called papillae, which either distribute what has been ingested (filiform papillae) or contain the sensory taste (or gustatory) receptor cells (fungiform, circumvallate, and foliate papillae). Embedded within each taste-related papilla are the taste buds—clusters of 30 to 100 gustatory receptor cells.
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Assessment of the Mouth01:26

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A thorough mouth assessment, including inspection and palpation of the lips, gums, tongue, tonsils, uvula, and pharynx, is crucial in detecting potential health issues. Diseases ranging from oral cancer to systemic conditions like diabetes could be identified early through careful oral examination. This article provides a detailed guide on conducting a comprehensive mouth assessment.
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The inspection begins with visually examining the mouth for symmetry, color, and size.
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Taste Buds and Receptors01:20

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Gustation, or the sense of taste, is intrinsically linked to the anatomical structures located on the tongue. This organ's surface, along with the entirety of the oral cavity, is adorned with stratified squamous epithelium. Evident on the tongue are elevated structures known as papillae (singular = papilla), which house the mechanisms for the transduction of gustatory stimuli. Four distinct types of papillae exist, each identified by their unique morphological attributes: the circumvallate,...
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Related Experiment Video

Updated: Apr 5, 2026

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application
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Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

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Significant Geometry Features in Tongue Image Analysis.

Bob Zhang1, Han Zhang1

  • 1Department of Computer and Information Science, University of Macau, Taipa, Macau.

Evidence-Based Complementary and Alternative Medicine : Ecam
|August 7, 2015
PubMed
Summary
This summary is machine-generated.

Computerized analysis of human tongue shapes using geometric features can help identify diseases. This method effectively classifies tongue shapes and distinguishes between different disease classes with 76.24% accuracy.

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Area of Science:

  • Medical diagnostics
  • Computational geometry
  • Traditional Chinese Medicine (TCM)

Background:

  • Tongue diagnosis is a key component of Traditional Chinese Medicine (TCM).
  • Quantitative analysis of tongue shape can provide objective diagnostic information.
  • Previous methods lacked standardized geometric feature extraction and classification.

Purpose of the Study:

  • To quantitatively analyze human tongue shapes using geometric features.
  • To establish a link between tongue geometry and patient health status (healthy vs. diseased).
  • To develop a computer-aided system for tongue shape classification and disease discrimination.

Main Methods:

  • Extraction of 13 geometric features from tongue images using a specialized device.
  • Definition of 5 distinct tongue shapes (rectangle, triangles, square, circle) based on TCM principles.
  • Classification of tongue shapes using a decision tree algorithm.
  • Validation on a dataset of 672 images (130 healthy, 542 diseased).

Main Results:

  • Extracted geometric features demonstrated effectiveness in coarse-level tongue shape classification.
  • Fine-level classification successfully discriminated between different disease classes within the same shape category.
  • Achieved an average classification accuracy of 76.24% across all shapes and diseases.

Conclusions:

  • Geometric feature analysis of tongue images is a viable method for computer-aided diagnosis.
  • The developed approach shows potential for objective tongue-based disease identification.
  • Further refinement could enhance diagnostic accuracy in clinical settings.