Procjena forenzičkih parametara iz rendgenskih slika zuba

undergraduate thesis

• Title (english): Estimating Forensic Parameters From Individual Tooth Images
• Author: Stjepan Kos
• Mentor: Marko Subašić (mentor)
• Committee member: Marko Subašić (predsjednik povjerenstva)
• Committee member: Luka Posilović (član povjerenstva)
• Committee member: Denis Milošević (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2022-07-05, 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: konvolucijske neuronske mreže; python; regresija; klasifikacija; računalni vid; duboko učenje
• Keywords (english): Convolutional neural network; Python; Regression; Classification; Computer Vision; Deep Learning
• Language: croatian
• URN:NBN: urn:nbn:hr:168:002719
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-15 10:33:26