Prediction of the Facial Growth Direction is Challenging
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15110%2F21%3A73611444" target="_blank" >RIV/61989592:15110/21:73611444 - isvavai.cz</a>
Result on the web
<a href="https://obd.upol.cz/id_publ/333191331" target="_blank" >https://obd.upol.cz/id_publ/333191331</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-92310-5_77" target="_blank" >10.1007/978-3-030-92310-5_77</a>
Alternative languages
Result language
angličtina
Original language name
Prediction of the Facial Growth Direction is Challenging
Original language description
Facial dysmorphology or malocclusion is frequently associated with abnormal growth of the face. The ability to predict facial growth (FG) direction would allow clinicians to prepare individualized therapy to increase the chance for successful treatment. Prediction of FG direction is a novel problem in the machine learning (ML) domain. In this paper, we perform feature selection and point the attribute that plays a central role in the abovementioned problem. Then we successfully apply data augmentation (DA) methods and improve the previously reported classification accuracy by 2.81%. Finally, we present the results of two experienced clinicians that were asked to solve a similar task to ours and show how tough is solving this problem for human experts.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Neural Information Processing
ISBN
978-3-030-92309-9
ISSN
1865-0929
e-ISSN
1865-0937
Number of pages
9
Pages from-to
665-673
Publisher name
Springer International Publishing
Place of publication
Bern, Switzerland
Event location
Sanur, Bali, Indonesia
Event date
Dec 8, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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