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master's thesis
Detekcija melanoma i lezija kože korištenjem OpenCV-a i algoritama strojnog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:441657
Banfić, Nenad
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Banfić, N. (2017). Detekcija melanoma i lezija kože korištenjem OpenCV-a i algoritama strojnog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:441657

Banfić, Nenad. "Detekcija melanoma i lezija kože korištenjem OpenCV-a i algoritama strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:441657

Banfić, Nenad. "Detekcija melanoma i lezija kože korištenjem OpenCV-a i algoritama strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:441657

Banfić, N. (2017). 'Detekcija melanoma i lezija kože korištenjem OpenCV-a i algoritama strojnog učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 28 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:441657

Banfić N. Detekcija melanoma i lezija kože korištenjem OpenCV-a i algoritama strojnog učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 December 28] Available at: https://urn.nsk.hr/urn:nbn:hr:168:441657

N. Banfić, "Detekcija melanoma i lezija kože korištenjem OpenCV-a i algoritama strojnog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:441657

Metadata
TitleDetekcija melanoma i lezija kože korištenjem OpenCV-a i algoritama strojnog učenja
Title (english)Melanoma and Skin Lesion Detection Using OpenCV and Machine Learning Algorithms
AuthorNenad Banfić
MentorBoris Milašinović (mentor)
Committee memberBoris Milašinović (predsjednik povjerenstva)
Committee memberNikica Hlupić (član povjerenstva)
Committee memberMirjana Domazet-Lošo (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Zadatak ovog diplomskog rada je bio prikupiti slike dobroćudnih i zloćudnih lezija kože, a zatim proučiti programski okvir OpenCV te korištenjem različitih algoritama segmentacije i ekstrakcije značajki, naći način za izvući značajke poput boje, asimetrije, granice te strukture iz same slike. Također su razvijeni i testirani različiti nadzirani modeli strojnog učenja u cilju klasificiranja lezija u potencijalno opasne ili bezopasne. Razvijena je i mobilna aplikacija za platformu Android koja omogućuje fotografiranje lezija i prikazivanja rezultata analize korisniku. Razmotrena je varijanta obrade slike i klasifikacije na uređaju, kao i na poslužitelju.
Abstract (english)
The task of this master thesis was to collect images of both benign and malicious skin lesions, study the OpenCV application framework and find a way to extract features such as colours, asymmetry, borders, structures by using different segmentations and feature extraction algorithms. Afterwards, it was important to develop and test different supervised machine learning models in order to classify lesions into potentially dangerous or safe and develop an Android application that would enable a user to take a photo of a lesion and receive back the analysis result. Different variants of image processing were taken into the consideration, i.e. on a mobile device and on the server.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:441657
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-13 18:48:52