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undergraduate thesis
Klasifikacija slika srčanog tkiva primjenom duboke neuronske mreže
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:398639
Božić, Altea
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Božić, A. (2024). Klasifikacija slika srčanog tkiva primjenom duboke neuronske mreže (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:398639

Božić, Altea. "Klasifikacija slika srčanog tkiva primjenom duboke neuronske mreže." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:398639

Božić, Altea. "Klasifikacija slika srčanog tkiva primjenom duboke neuronske mreže." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:398639

Božić, A. (2024). 'Klasifikacija slika srčanog tkiva primjenom duboke neuronske mreže', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:398639

Božić A. Klasifikacija slika srčanog tkiva primjenom duboke neuronske mreže [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 November 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:398639

A. Božić, "Klasifikacija slika srčanog tkiva primjenom duboke neuronske mreže", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:398639

Metadata
TitleKlasifikacija slika srčanog tkiva primjenom duboke neuronske mreže
Title (english)Cardiac Tissue Image Classification Using Deep Neural Network
AuthorAltea Božić
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberDonik Vršnak (član povjerenstva)
Committee memberFranko Šikić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-07-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Problemi kliničke dijagnostike, koja se temelji na proučavanju medicinskih slika, često su klasifikacijske prirode. Jedan takav problem je problem klasifikacije slika srčanog tkiva kod pacijenata s transplantiranim srcem u svrhu određivanja kliničkog stanja odbacivanja tkiva. Ovaj rad prati razvoj modela konvolucijske neuronske mreže za dotični problem. Na početku rada opisane su osnovne značajke konvolucijskih neuronskih mreža. Zatim je objašnjeno treniranje modela, kao i podatkovni skup korišten za potrebe rada kojeg predstavljaju slike srčanog tkiva dobivene X-PCI snimanjem. Na kraju, dani su eksperimentalni rezultati modela uz vizualizaciju uporabom Grad-CAM algoritma te usporedba metrika nekih od ranije implementiranih modela za dotični problem.
Abstract (english)
The challenges of clinical diagnostics, which rely on the analysis of medical images, are often classification problems. One such challenge is the classification of cardiac tissue images in heart transplant patients in order to determine the clinical status of tissue rejection. This paper outlines the development of a convolutional neural network to address this issue. The basic characteristics of convolutional neural networks are described at the beginning of the paper. Then, the training process of the model is explained, along with the description of the used dataset, which consists of heart tissue images obtained through X-PCI imaging. Finally, the paper presents experimental results of the model, including visualizations using the Grad-CAM algorithm and a comparison of metrics with previous versions of the implemented model for the same problem.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:398639
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 on2024-10-12 20:09:42