A Method of Classifying Tongue Colors for Traditional Chinese Medicine Diagnosis Based on the CIELAB Color Space

Li, Bocong; Huang, Qingmei; Lu, Yan; Chen, Songhe; Liang, Rong; Wang, Zhao-ping

doi:10.1007/978-3-540-77413-6_20

Cited by 13 publications

(5 citation statements)

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“…Several medical practitioners typically used colour features as the prominent criteria for examination. However, the diagnostic results are prone to subjectivity and ambiguity (Li et al, 2007;Li and Yuen, 2002;Pang et al, 2005a;Pang et al, 2005b).…”

Section: Introductionmentioning

confidence: 99%

Virtual doctor: an artificial medical diagnostic system based on hard and soft inputs

Karthik¹,

Menaka

Kulkarni

et al. 2014

IJBET

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The objective of this research is to develop an automatic medical diagnostic system which can be readily available to the common man, especially to those who cannot receive proper medical care. The approach basically includes a combination of soft and hard inputs. Soft inputs include a variety of common symptoms such as fever, headache and cough. Each selected disease corresponds to a variety of general symptoms. Hard inputs include images of the tongue as it is widely used by the doctor to diagnose the various disorders. The analysis of hard inputs was divided into two phases, namely chromatic colour analysis and texture-based statistical analysis. Once the feature vectors are encoded from the hard and soft inputs, they are fed to a neural network for developing a classification model. Neural network is trained with four different algorithms and the performance is analysed.

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Section: Introductionmentioning

confidence: 99%

Virtual doctor: an artificial medical diagnostic system based on hard and soft inputs

Karthik¹,

Menaka

Kulkarni

et al. 2014

IJBET

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show abstract

“…According to the fundamental principles of reflexology, in fact, "a part reflects the whole" and "abnormal external manifestations are the reflection of diseases of the internal organs" [16]. Therefore, any observable anomalies on the tongue could be indicative of pathologies both of internal organs and related to psycho-somatic disorders [1], [5], [6], [32]- [37]. The MIL approach, as far as we know, has not been used for Tongue Image Analysis.…”

Section: Introductionmentioning

confidence: 99%

On the Development of a Tool for Tongue Images Analysis

Vocaturo

Zumpano

2020

2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

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Artificial intelligence is currently being used for medical image analysis in various fields, and particularly for organ and injury segmentation, disease detection and classification, and to assess response to treatment. In this paper we refer about the development of a software module that is in charge of analyzing tongue images in order to support the identification of specific disease. The module extends the system SIMPATICO 3D.

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“…In recent years, some works have been done on non-invasive methods to diagnose specific diseases by using body surface features (the tongue, face, and sublingual vein). The human tongue, face and sublingual vein contain numerous valuable information that can be used for diagnosis [12], [13], [14], [15], [16], [17] with color, texture and geometry features being the most prominent.…”

Section: Introductionmentioning

confidence: 99%

Joint similar and specific learning for diabetes mellitus and impaired glucose regulation detection

Zhang

et al. 2017

Information Sciences

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A Method of Classifying Tongue Colors for Traditional Chinese Medicine Diagnosis Based on the CIELAB Color Space

Cited by 13 publications

References 0 publications

Virtual doctor: an artificial medical diagnostic system based on hard and soft inputs

Virtual doctor: an artificial medical diagnostic system based on hard and soft inputs

On the Development of a Tool for Tongue Images Analysis

Joint similar and specific learning for diabetes mellitus and impaired glucose regulation detection

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