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undergraduate thesis
Detekcija upale pluća na rendgenskim snimkama primjenom konvolucijskih neuralnih mreža
2022. urn:nbn:hr:179:448514
Budimir, Marina
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Budimir, M. (2022). Detekcija upale pluća na rendgenskim snimkama primjenom konvolucijskih neuralnih mreža (Undergraduate thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:448514

Budimir, Marina. "Detekcija upale pluća na rendgenskim snimkama primjenom konvolucijskih neuralnih mreža." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:448514

Budimir, Marina. "Detekcija upale pluća na rendgenskim snimkama primjenom konvolucijskih neuralnih mreža." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:448514

Budimir, M. (2022). 'Detekcija upale pluća na rendgenskim snimkama primjenom konvolucijskih neuralnih mreža', Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 18 November 2024, https://urn.nsk.hr/urn:nbn:hr:179:448514

Budimir M. Detekcija upale pluća na rendgenskim snimkama primjenom konvolucijskih neuralnih mreža [Undergraduate thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2024 November 18] Available at: https://urn.nsk.hr/urn:nbn:hr:179:448514

M. Budimir, "Detekcija upale pluća na rendgenskim snimkama primjenom konvolucijskih neuralnih mreža", Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:448514

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Metadata
TitleDetekcija upale pluća na rendgenskim snimkama primjenom konvolucijskih neuralnih mreža
Title (english)Pneumonia detection in chest X-ray images using convolutional neural networks
AuthorMarina Budimir
MentorMatko Šarić https://orcid.org/0000-0001-9752-9653 (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2022-07-18, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj rada je predstaviti strojno učenje i njegove vrste, objasniti pojam neuralne mreže te se detaljno upoznati sa konvolucijskim neuralnim mrežama. Također, na temelju teoretskoga dijela ovoga rada izrađen je i praktični dio koji se bavi detekcijom upale pluća na rendgenskim snimkama korištenjem konvolucijskih neuralnih mreža koje su osobite po svojoj mogućnosti detekcije i raspoznavanja objekata. Ovaj zadatak je dobar primjer uspješnosti i preciznosti konvolucijskih neuralnih mreža.
Abstract (english)
The main goal of this thesis is to present machine learning and its types, to explain the concept of neural network and get to know convolutional neural networks. Also, based on the theory of this thesis, experimental part that deals with the pneumonia detection on X-rays using Convolutional Neural Networks that are famous for its ability to detect and recognoze object is done. This project task is good example of the success and accuracy of convolutional neural networks
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:448514
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
Access conditionsAccess restricted to authenticated users
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Created on2023-03-09 11:28:59