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master's thesis
Metoda strojnog učenja za detekciju melanoma na koži mobilnim uređajem
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. urn:nbn:hr:200:304695
Stojčević, Stjepan
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Stojčević, S. (2024). Metoda strojnog učenja za detekciju melanoma na koži mobilnim uređajem (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:304695

Stojčević, Stjepan. "Metoda strojnog učenja za detekciju melanoma na koži mobilnim uređajem." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:304695

Stojčević, Stjepan. "Metoda strojnog učenja za detekciju melanoma na koži mobilnim uređajem." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:304695

Stojčević, S. (2024). 'Metoda strojnog učenja za detekciju melanoma na koži mobilnim uređajem', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 27 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:304695

Stojčević S. Metoda strojnog učenja za detekciju melanoma na koži mobilnim uređajem [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2024 [cited 2024 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:200:304695

S. Stojčević, "Metoda strojnog učenja za detekciju melanoma na koži mobilnim uređajem", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:200:304695

Metadata
TitleMetoda strojnog učenja za detekciju melanoma na koži mobilnim uređajem
Title (english)A deep learning method for the detection of melanomas using a mobile device
AuthorStjepan Stojčević
MentorIrena Galić (mentor)
MentorMarin Benčević (sumentor)
Committee memberIrena Galić (predsjednik povjerenstva)
Committee memberKrešimir Romić (član povjerenstva)
Committee memberHrvoje Leventić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
Osijek
Defense date and country2024-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
Uvođenje naprednih tehnologija u medicinu značajno je unaprijedilo dijagnostiku i liječenje brojnih bolesti, uključujući melanom, najopasniji oblik raka kože. Razvoj metoda strojnog učenja omogućuje precizniju analizu medicinskih slika, što doprinosi ranijem otkrivanju i uspješnijem liječenju melanoma. U ovom diplomskom radu istražuje se primjena strojnog učenja u detekciji melanoma korištenjem mobilnih uređaja. Prednosti mobilnih uređaja je u njihovoj dostupnosti i praktičnosti, čime se omogućava šira upotreba dijagnostičkih alata u svakodnevnom životu. Korištenjem suvremenih algoritama strojnog učenja, mobilne aplikacije mogu postati pouzdani asistenti dermatologa u prepoznavanju sumnjivih lezija kože. Cilj ovog rada je prikazati mogućnosti i ograničenja ovakvih sustava te ponuditi rješenja za njihovo poboljšanje i širu primjenu u medicinskoj praksi.
Abstract (english)
The introduction of advanced technologies in medicine has significantly improved the diagnosis and treatment of numerous diseases, including melanoma, the most dangerous form of skin cancer. The development of machine learning methods enables more precise analysis of medical images, which contributes to earlier detection and more successful treatment of mela- noma. This thesis examines the application of machine learning in melanoma detection using mobile devices. The advantages of mobile devices lie in their availability and practicality, which enables the wider use of diagnostic tools in everyday life. By using modern machine learning algorithms, mobile applications can become reliable assistants to dermatologists in identifying suspicious skin lesions. The aim of this paper is to show the possibilities and li- mitations of such systems and to offer solutions for their improvement and wider application in medical practice.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:304695
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka računarstva (sveučilišni/a magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-09-17 11:46:29