Absorption Spectroscopy in Dental Tissue Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F23%3A10464421" target="_blank" >RIV/00216208:11110/23:10464421 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/23:00371373 RIV/60461373:22340/23:43927698
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=hU8X9x34xk" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=hU8X9x34xk</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2023.3246299" target="_blank" >10.1109/ACCESS.2023.3246299</a>
Alternative languages
Result language
angličtina
Original language name
Absorption Spectroscopy in Dental Tissue Analysis
Original language description
Oral health problems are closely associated with the analysis of dental tissue changes and the stomatologic treatment that follows. This paper explores the use of diffuse reflectance spectroscopy in the detection of dental tissue disorders. The data set includes 343 measurements of teeth spectra in the wavelength range from 400 to 1700 nm. The proposed methodology focuses on computational and statistical methods and the use of these methods for the classification of dental tissue into two classes (healthy and unhealthy) by estimating the probability of class membership. Signal processing is based on the difference between the healthy and unhealthy teeth reflectance spectra in the infrared and visible ranges. Selected features associated with observed spectra are then used for machine learning classification based on the experience of an expert in stomatology during the learning stage. The proposed modification of the weighted k-nearest neighbour method provides class boundaries and the probability of class membership during the verification stage. The accuracy of the classification process reached 95.4%. The proposed methodology and graphical user interface point to the possibility of using absorption spectroscopy in the evaluation of tissue quality changes and its possible implementation in the clinical environment.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30208 - Dentistry, oral surgery and medicine
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Access
ISSN
2169-3536
e-ISSN
2169-3536
Volume of the periodical
11
Issue of the periodical within the volume
February
Country of publishing house
US - UNITED STATES
Number of pages
7
Pages from-to
17569-17575
UT code for WoS article
000945189400001
EID of the result in the Scopus database
2-s2.0-85149176065