prikaz prve stranice dokumenta Računalna analiza stomatoloških rendgenskih snimaka
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master's thesis
Računalna analiza stomatoloških rendgenskih snimaka
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:152760
Čular, Luka
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Čular, L. (2017). Računalna analiza stomatoloških rendgenskih snimaka (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:152760

Čular, Luka. "Računalna analiza stomatoloških rendgenskih snimaka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:152760

Čular, Luka. "Računalna analiza stomatoloških rendgenskih snimaka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:152760

Čular, L. (2017). 'Računalna analiza stomatoloških rendgenskih snimaka', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:152760

Čular L. Računalna analiza stomatoloških rendgenskih snimaka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:152760

L. Čular, "Računalna analiza stomatoloških rendgenskih snimaka", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:152760

Metadata
TitleRačunalna analiza stomatoloških rendgenskih snimaka
Title (english)Computer-based Analysis of Stomatologic Roentgen Images
AuthorLuka Čular
MentorMarko Subašić (mentor)
Committee memberMarko Subašić (predsjednik povjerenstva)
Committee memberSven Lončarić (član povjerenstva)
Committee memberLea Skorin-Kapov (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-09-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Temeljem bioloških značajki umnjaka moguće je odrediti dob osobe u rasponu od 10. do 25. godine života. No kod većeg broja ortopantomograma, taj postupak stomatolozima oduzima dosta vremena. Stoga bi se uvelike smanjilo vrijeme obrade kada bi se taj process automatizirao. Kako bi računalo pribavilo informacije o značajkama umnjaka, potrebno ga je prvo locirati na ortopantomogramu. Za potrebe ovog problema, prilagođen je algoritam modela izgleda (engl. Active Appearance Model). Koristeći skup za treniranje ortopantomograma s ručno označenim umnjacima model izgleda skuplja informacije o različitim varijacijama izgleda umnjaka. Zatim pronalazi umnjak na potpuno novoj slici te prikuplja njegove značajke. Dovodeći te značajke na ulaz prethodno istrenirane neuronske mreže dobiva se procjena dentalne dobi.
Abstract (english)
Using the biological features of the wisdom teeth, it is possible to determine dental age for person between 10 and 25 years of age. But with a large number of orthopantomograms, this procedure takes a lot of time for dentists. Therefore, the processing time would be greatly reduced if this process was automated. For the computer to obtain information on the features of the wisdom tooth, it is necessary to locate it first on the orthopantomogram. Active appearance model was customized for solving this problem. Using a set of training data comprised of orthopantomograms with hand-marked wisdom teeth, AAM obtains information about different variations of wisdom teeth appearance. It then locates wisdom tooth on a completely new image and obtains its features. By using these features as an input for a previously trained neural network, dental age is estimated.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:152760
Study programmeTitle: Information and Communication Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2019-03-13 19:47:04