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undergraduate thesis
Detekcija oštećenog tkiva na CT slikama pluća pomoću umjetne neuronske mreže
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:554724
Ivušić, David
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Ivušić, D. (2022). Detekcija oštećenog tkiva na CT slikama pluća pomoću umjetne neuronske mreže (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:554724

Ivušić, David. "Detekcija oštećenog tkiva na CT slikama pluća pomoću umjetne neuronske mreže." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:554724

Ivušić, David. "Detekcija oštećenog tkiva na CT slikama pluća pomoću umjetne neuronske mreže." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:554724

Ivušić, D. (2022). 'Detekcija oštećenog tkiva na CT slikama pluća pomoću umjetne neuronske mreže', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 21 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:554724

Ivušić D. Detekcija oštećenog tkiva na CT slikama pluća pomoću umjetne neuronske mreže [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 June 21] Available at: https://urn.nsk.hr/urn:nbn:hr:168:554724

D. Ivušić, "Detekcija oštećenog tkiva na CT slikama pluća pomoću umjetne neuronske mreže", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:554724

Metadata
TitleDetekcija oštećenog tkiva na CT slikama pluća pomoću umjetne neuronske mreže
Title (english)Detection of damaged tissue on CT lung images using artificial neural networks
AuthorDavid Ivušić
MentorSonja Grgić (mentor)
Committee memberSonja Grgić (predsjednik povjerenstva)
Committee memberMarko Bosiljevac (član povjerenstva)
Committee memberJelena Božek (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj ovog rada je prikazati kako umjetne neuronske mreže mogu pomoći zdravstvenim djelatnicima pri dijagnozi bolesti te tako olakšati i ubrzati proces liječenja pacijenta. Za taj zadatak korištena je darknet implementacija YOLO (You Only Look Once) arhitekture čija je glavna prednost nad ostalim mrežama za detekciju objekata njegova brzina. Osim YOLO arhitekture opisane su i R-CNN (Regions with CNN features) arhitekture. Model istreniran u ovom radu ima mAP (mean average precision) 59.14%, a testiranje na 100 slika pokazuje da model dosta dobro detektira česta oštećenja, a lošije oštećenja koja se rijetko pojavljuju ili koja se mogu zamijeniti s normalnim nalazom.
Abstract (english)
The aim of this paper is to show how artificial neural networks can help health professionals in diagnosing the disease and thus facilitate and speed up the process of treating the patient. For this task, the darknet implementation of the YOLO (You Only Look Once) architecture is used, whose main advantage over other networks for object detection is its speed. In addition to the YOLO architecture, R-CNN (Regions with CNN features) architectures are also described. The model trained in this paper has a mAP (mean average precision) of 59.14% and testing on 100 images shows that the model detects frequent damages quite well, however damages that rarely occur or that can be mistaken for a normal finding are not detected as well.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:554724
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 on2023-01-15 10:22:55