A Novel Computerized Method Based on Support Vector Machine for Tongue Diagnosis

A tongue diagnosis using Support Vector Machine classification method

Description

The tongue diagnosis is an important diagnostic
method in Traditional Chinese Medicine (TCM). In
this paper, we present a novel computerized tongue
inspection method based on Support Vector Machine
(SVM). First, two kinds of quantitative features,
chromatic and textural measures, are extracted from
tongue images by using popular image processing
techniques. Then, Support Vector Machine and
Bayesian network are employed to build the
mapping relationships between these features and
diseases, respectively. Finally, we present a
comparison between SVM and BN classification. The
experiment results show that we can use SVM to
classify the tongue images more excellently and get a
relative reliable prediction of diseases based on
these features.

• MATLAB release: MATLAB 7.4 (R2007a)

[Pablo Rivas Perea]

Can't download the file

[mehdi keshavarz]

I couldn't download it

[John D'Errico]

Will not download.

Anyway, this is a pdf file, not an m-file. The file exchange is not the place for you to "publish" a paper that you could not get into a journal. It is place where you can find useful Matlab code. As a pdf file, this will not contain anything usable.

[rajasekhar m]

not found

[Chen An]

good

[lafrance du sud]

to publisher the pdf file, you could do it on the international journal of science!

[Feng Quan]

it is only a pdf without any m file.

[Filippo Rinaldi]

Where is the file, please?

[shahnaz fatima]

plaese i want to see the files please

[Vit University]

i need some code for Bayesian classification of medical images could u provide me some code? thanks in advance..