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undergraduate thesis
Klasifikacija medicinskih slika konvolucijskim modelima
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:062448
Almer, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Almer, I. (2019). Klasifikacija medicinskih slika konvolucijskim modelima (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:062448

Almer, Ivan. "Klasifikacija medicinskih slika konvolucijskim modelima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:062448

Almer, Ivan. "Klasifikacija medicinskih slika konvolucijskim modelima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:062448

Almer, I. (2019). 'Klasifikacija medicinskih slika konvolucijskim modelima', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 02 October 2024, https://urn.nsk.hr/urn:nbn:hr:168:062448

Almer I. Klasifikacija medicinskih slika konvolucijskim modelima [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 October 02] Available at: https://urn.nsk.hr/urn:nbn:hr:168:062448

I. Almer, "Klasifikacija medicinskih slika konvolucijskim modelima", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:062448

Metadata
TitleKlasifikacija medicinskih slika konvolucijskim modelima
Title (english)Classification of Medical Images With Convolutional Models
AuthorIvan Almer
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberPetra Bevandić (član povjerenstva)
Committee memberJosip Šarić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Klasifikacija slika je jedan od još neriješenih problema računalnog vida, no iz godine u godinu se vidi napredak u tom području. U ovom radu opisane su konvolucijske neuronske mreže te njihova primjena u klasifikaciji slika. Dodatno opisane su i rezidualne neuronske mreže koje su omogućile velik pomak u području računalnog vida. U okviru ovog rada koristio sam implementaciju rezidualne mreže ResNet-50 za problem klasifikacije slika kožnih nepravilnosti na skupu podataka HAM:10000. Dobiveni rezultati su prikazani i diskutirani na kraju rada.
Abstract (english)
Image classification is still one of the unsolved computer vision problems, but there is a clear advance in that area from year to year. This paper describes convolutional neural networks and their application in classification problem. In addition, there is a thorough description of residual neural networks, which enabled a major leap forward in computer vision. For the purposes of this work I used ResNet-50 residual network to solve the problem of skin lesion image classification from the dataset HAM:10000. The results of the experiment are displayed and commented at the end of the paper.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:062448
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 on2020-01-07 15:56:31