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undergraduate thesis
Sustav za otkrivanje zaraze malarijom temeljen na slikama razmaza periferne krvi
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:158533
Marić, Domagoj
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Marić, D. (2024). Sustav za otkrivanje zaraze malarijom temeljen na slikama razmaza periferne krvi (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:158533

Marić, Domagoj. "Sustav za otkrivanje zaraze malarijom temeljen na slikama razmaza periferne krvi." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:158533

Marić, Domagoj. "Sustav za otkrivanje zaraze malarijom temeljen na slikama razmaza periferne krvi." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:158533

Marić, D. (2024). 'Sustav za otkrivanje zaraze malarijom temeljen na slikama razmaza periferne krvi', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:158533

Marić D. Sustav za otkrivanje zaraze malarijom temeljen na slikama razmaza periferne krvi [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:158533

D. Marić, "Sustav za otkrivanje zaraze malarijom temeljen na slikama razmaza periferne krvi", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:158533

Metadata
TitleSustav za otkrivanje zaraze malarijom temeljen na slikama razmaza periferne krvi
Title (english)Malaria infection detection system based on thin-blood smear images
AuthorDomagoj Marić
MentorAlan Jović (mentor)
Committee memberAlan Jović (predsjednik povjerenstva)
Committee memberNikolina Frid (član povjerenstva)
Committee memberIgor Stančin (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-06-25, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovome je radu dan kratak uvod u područje umjetne inteligencije. Veći je naglasak stavljen na umjetne neuronske mreže, specifično na konvolucijske neuronske mreže. Uz rad su izrađena dva modela neuronskih mreža nad kojima je demonstrirano učenje. Za izradu sustava korišten je programski jezik Python. Na samome je kraju rada dana usporedba dvaju priloženih modela kroz testove točnosti, pogreške kao i prikaz konfuzijskom matricom.
Abstract (english)
This paper gives a brief introduction to the field of artificial intelligence. Greater emphasis is placed on artificial neural networks, specifically on convolutional neural networks. Along with the work, two models of neural networks were developed, over which learning was demonstrated. The Python programming language was used to create the system. At the very end of the paper, a comparison of the two attached models is given through accuracy, error and confusion matrix tests.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:158533
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 21:26:10