Thesis Details

Hluboké neuronové sítě pro analýzu medicínských obrazových dat

Bachelor's Thesis Student: Szöllösi Albert Academic Year: 2019/2020 Supervisor: Španěl Michal, Ing., Ph.D.
English title
Deep Learning for Medical Image Analysis
Language
Czech
Abstract

This thesis offers possible solution to automatic 3D dental scan landmark localization. These scans are used in dental crown design and digital orthodontics to make the design process easier using specialized software. Before that, though, the scan has to be annotated for the software to know the positions of the teeth. The annotation process is done manually, which guarantees precision, but takes a lot of time. The result of this work could make said process much simpler by applying deep learning. Landmark localization was implemented using a convolutional neural network.

Keywords

deep learning, medical image data analysis, landmark localization, dental scan

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade E
Date
27 August 2020
Reviewer
Kodym Oldřich, Ing., Ph.D.
Committee
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), předseda
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Orság Filip, Ing., Ph.D. (DITS FIT BUT), člen
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), člen
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Citation
SZÖLLÖSI, Albert. Hluboké neuronové sítě pro analýzu medicínských obrazových dat. Brno, 2020. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-08-27. Supervised by Španěl Michal. Available from: https://www-dev.fit.vutbr.cz/study/thesis/23406/
BibTeX 
@bachelorsthesis{FITBT23406,
    author = "Albert Sz{\"{o}}ll{\"{o}}si",
    type = "Bachelor's thesis",
    title = "Hlubok\'{e} neuronov\'{e} s\'{i}t\v{e} pro anal\'{y}zu medic\'{i}nsk\'{y}ch obrazov\'{y}ch dat",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/23406/"
}

Theses

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