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master's thesis
Klasifikacija ortopantomograma pomoću dubokih neuronskih mreža
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:796435
Šuflaj, Miljenko
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Šuflaj, M. (2022). Klasifikacija ortopantomograma pomoću dubokih neuronskih mreža (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:796435

Šuflaj, Miljenko. "Klasifikacija ortopantomograma pomoću dubokih neuronskih mreža." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:796435

Šuflaj, Miljenko. "Klasifikacija ortopantomograma pomoću dubokih neuronskih mreža." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:796435

Šuflaj, M. (2022). 'Klasifikacija ortopantomograma pomoću dubokih neuronskih mreža', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:796435

Šuflaj M. Klasifikacija ortopantomograma pomoću dubokih neuronskih mreža [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:796435

M. Šuflaj, "Klasifikacija ortopantomograma pomoću dubokih neuronskih mreža", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:796435

Metadata
TitleKlasifikacija ortopantomograma pomoću dubokih neuronskih mreža
Title (english)Classification of Orthopantomograms Using Deep Neural Networks
AuthorMiljenko Šuflaj
MentorMarko Subašić (mentor)
Committee memberMarko Subašić (predsjednik povjerenstva)
Committee memberSven Lončarić (član povjerenstva)
Committee memberZvonko Kostanjčar (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ponovno posjećujemo problem detekcije i klasifikacije zuba, no ovog puta s modernijim metodama. Koristeći Swin transformer i Mask R-CNN detektor, finetuneamo predtrenirani detektor nad našim podatkovnim skupom. Navodimo kako bi u optimalnom slučaju izgledao podatkovni skup, model, hiperparametri. Prikazujemo naše rezultate te ih komentiramo. Uspoređujemo s bogatom kolekcijom postojećih radova na temu. Prezentiramo ciljeve za buduće istraživanje na temu.
Abstract (english)
We visit the problem of detection and classification of teeth once more, only this time with modern methods. Using a Swin transformer and a Mask R-CNN detector we finetune the pretrained detector on our dataset. We list how an optimal scenario regarding our dataset, model and its hyperparameters would look like. We show our results and comment on them. We compare them to the rich collection of existing work on the topic. Finally, we present goals for future work on the topic.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:796435
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-13 16:20:00