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undergraduate thesis
Procjena forenzičkih parametara iz rendgenskih slika zuba
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:002719
Kos, Stjepan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Kos, S. (2022). Procjena forenzičkih parametara iz rendgenskih slika zuba (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:002719

Kos, Stjepan. "Procjena forenzičkih parametara iz rendgenskih slika zuba." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:002719

Kos, Stjepan. "Procjena forenzičkih parametara iz rendgenskih slika zuba." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:002719

Kos, S. (2022). 'Procjena forenzičkih parametara iz rendgenskih slika zuba', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 05 October 2024, https://urn.nsk.hr/urn:nbn:hr:168:002719

Kos S. Procjena forenzičkih parametara iz rendgenskih slika zuba [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 October 05] Available at: https://urn.nsk.hr/urn:nbn:hr:168:002719

S. Kos, "Procjena forenzičkih parametara iz rendgenskih slika zuba", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:002719

Metadata
TitleProcjena forenzičkih parametara iz rendgenskih slika zuba
Title (english)Estimating Forensic Parameters From Individual Tooth Images
AuthorStjepan Kos
MentorMarko Subašić (mentor)
Committee memberMarko Subašić (predsjednik povjerenstva)
Committee memberLuka Posilović (član povjerenstva)
Committee memberDenis Milošević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovome radu su ispitane metode za regresiju i klasifikaciju slika s posebnim naglaskom na metode dubokog učenja. Napravljen je sustav koji odgovarajuću bazu ortopantomograma izreže na pojedine sličice zuba i prilagodi ulazu neuronskih mreža. Testirane su dvije konvolucijske mreže: jedna za klasifikaciju spola osobe te druga za regresiju dobi osobe. Na kraju su ispisani i analizirani rezultati.
Abstract (english)
In this thesis, methods for regression and classification of images with special emphasis on deep learning methods are examined. A system was made that cuts out individual tooth images from the orthopantomogram and adjusted it to the input of neural networks. Two convolutional networks were tested: one for the classification of a per- son’s gender and the other for a person’s age recognition. Finally, the results were written and briefly disccused.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:002719
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-15 10:33:26