prikaz prve stranice dokumenta Automatska detekcija hernije diska lumbalne kralježnice na MR-u temeljena na deep learningu
  Download
PDF 1.69 MB
master's thesis
Automatska detekcija hernije diska lumbalne kralježnice na MR-u temeljena na deep learningu
2023. urn:nbn:hr:176:272542
Ljubić, Maja
University of Split
University Department of Health Studies

Cite this document

Ljubić, M. (2023). Automatska detekcija hernije diska lumbalne kralježnice na MR-u temeljena na deep learningu (Master's thesis). Split: University of Split. Retrieved from https://urn.nsk.hr/urn:nbn:hr:176:272542

Ljubić, Maja. "Automatska detekcija hernije diska lumbalne kralježnice na MR-u temeljena na deep learningu." Master's thesis, University of Split, 2023. https://urn.nsk.hr/urn:nbn:hr:176:272542

Ljubić, Maja. "Automatska detekcija hernije diska lumbalne kralježnice na MR-u temeljena na deep learningu." Master's thesis, University of Split, 2023. https://urn.nsk.hr/urn:nbn:hr:176:272542

Ljubić, M. (2023). 'Automatska detekcija hernije diska lumbalne kralježnice na MR-u temeljena na deep learningu', Master's thesis, University of Split, accessed 24 November 2024, https://urn.nsk.hr/urn:nbn:hr:176:272542

Ljubić M. Automatska detekcija hernije diska lumbalne kralježnice na MR-u temeljena na deep learningu [Master's thesis]. Split: University of Split; 2023 [cited 2024 November 24] Available at: https://urn.nsk.hr/urn:nbn:hr:176:272542

M. Ljubić, "Automatska detekcija hernije diska lumbalne kralježnice na MR-u temeljena na deep learningu", Master's thesis, University of Split, Split, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:176:272542

Please login to the repository to save this object to your list.
Metadata
TitleAutomatska detekcija hernije diska lumbalne kralježnice na MR-u temeljena na deep learningu
Title (english)Automatic detection of lumbar spine disc herniation on MRI based on deep learning
AuthorMaja Ljubić
MentorFrane Mihanović (mentor)
Committee memberFrane Mihanović (član povjerenstva)
Committee memberTatjana Matijaš (predsjednik povjerenstva)
Committee memberDiana Aranza (član povjerenstva)
GranterUniversity of Split
(University Department of Health Studies)
Split
Defense date and country2023-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
Abstract
Bol u donjem dijelu kralježnice jedan je od najčešćih razloga odlaska liječniku, ali i veliki javnozdravstveni problem, uzevši u obzir da je najčešći uzrok radne onesposobljenosti i potraživanja bolovanja. To se obično događa zbog degeneracije intervertebralnih diskova, a jedan od vodećih uzroka je, svakako, hernija diska koja je stavljena u fokus rada. Magnetna rezonancija (MR) je trenutno najoptimalnija dijagnostička metoda za vizualizaciju i dijagnosticiranje patoloških stanja, ali ona istovremeno postavlja visoke zahtjeve kliničkim radiolozima. Automatizirano očitavanje MR snimki kralježnice moglo bi uvelike poboljšati brzinu, točnost, preciznost i financijsku isplativost zdravstvenom sustavu, a pacijentu pružiti pravovremenu dijagnozu i ubrzati proces liječenja te smanjiti duge liste čekanja na pretrage.
Abstract (english)
Low back pain is one of the most common reasons for going to the doctor, but also a major public health problem, considering that is the most common cause of work disability and claims of sick leave. This usually happens due to degeneration of intervertebral discs, and one of the leading causes is, certainly, a herniated disc, which is put into focus of the work. Magnetic resonance imaging (MRI) is currently the most optimal diagnostic method for visualizing and diagnosing pathological conditions, but at the same time it places high demands on clinical radiologists. Automated MRI readings of the spine could greatly improve the speed, accuracy, precision and financial viability of the health care system, while providing the patient with timely diagnosis, speeding up the treatment process and reducing long waiting lists for tests.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:176:272542
Study programmeTitle: Radiologic Technology (university/graduate)
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra radiološke tehnologije (magistar/magistra radiološke tehnologije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-09-28 15:42:26