Detekcija pojedinih zuba u panoramskim rendgenskim slikama čeljusti pomoću dubokog učenja

master's thesis

• Title (english): Detection of individual teeth in panoramic X-ray jaw images using deep learning
• Author: Marko Pisačić
• Mentor: Marko Subašić (mentor)
• Committee member: Marko Subašić (predsjednik povjerenstva)
• Committee member: Tomislav Pribanić (član povjerenstva)
• Committee member: Darko Vasić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2023-02-14, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U ovom radu, primijenili smo jedan od trenutno najboljih modela za detekciju objekata nad našim skupom podataka, koji se sastoji od rendgenskih snimaka maloljetnika. Uz detaljan opis modela, ostalih rješenja te implementacije rješenja, postigli smo visoku preciznost na skupu za ispitivanje, što otvara mogućnosti za daljnje istraživanje.

Abstract (english)

In this work, we apply one of the state-of-the-art models for object detection on our dataset, which consists of panoramic dental X-ray images of minors. Along with detailed description of the model, related work, and our implementation, we achieved high precision on test set, paving the way for future research.

• Keywords: duboko učenje; računalni vid; detekcija objekata; konvolucijske neuronske mreže
• Keywords (english): deep learning; computer vision; object detection; convolutional neural networks
• Language: croatian
• URN:NBN: urn:nbn:hr:168:179704
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-10-11 10:09:35