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undergraduate thesis
Umjetna inteligencija u medicini: Integracija tehnika dubokog učenja u robotske kirurške sustave
2024. urn:nbn:hr:166:851309
Elez, Mate
University of Split
Faculty of Science

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Elez, M. (2024). Umjetna inteligencija u medicini: Integracija tehnika dubokog učenja u robotske kirurške sustave (Undergraduate thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:851309

Elez, Mate. "Umjetna inteligencija u medicini: Integracija tehnika dubokog učenja u robotske kirurške sustave." Undergraduate thesis, University of Split, Faculty of Science, 2024. https://urn.nsk.hr/urn:nbn:hr:166:851309

Elez, Mate. "Umjetna inteligencija u medicini: Integracija tehnika dubokog učenja u robotske kirurške sustave." Undergraduate thesis, University of Split, Faculty of Science, 2024. https://urn.nsk.hr/urn:nbn:hr:166:851309

Elez, M. (2024). 'Umjetna inteligencija u medicini: Integracija tehnika dubokog učenja u robotske kirurške sustave', Undergraduate thesis, University of Split, Faculty of Science, accessed 15 November 2024, https://urn.nsk.hr/urn:nbn:hr:166:851309

Elez M. Umjetna inteligencija u medicini: Integracija tehnika dubokog učenja u robotske kirurške sustave [Undergraduate thesis]. Split: University of Split, Faculty of Science; 2024 [cited 2024 November 15] Available at: https://urn.nsk.hr/urn:nbn:hr:166:851309

M. Elez, "Umjetna inteligencija u medicini: Integracija tehnika dubokog učenja u robotske kirurške sustave", Undergraduate thesis, University of Split, Faculty of Science, Split, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:166:851309

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Metadata
TitleUmjetna inteligencija u medicini: Integracija tehnika dubokog učenja u robotske kirurške sustave
Title (english)Artificial intelligence in medicine: Integration of deep learning techniques into robotic surgical systems
AuthorMate Elez
MentorSaša Mladenović (mentor)
Committee memberSaša Mladenović (predsjednik povjerenstva)
Committee memberNika Jerković (član povjerenstva)
Committee memberAntonela Prnjak (član povjerenstva)
GranterUniversity of Split
Faculty of Science
Split
Defense date and country2024-09-24, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj ovog rada je istražiti i opisati primjenu tehnika dubokog učenja u medicini. Rad se fokusira na objašnjavanje načina na koji duboko učenje može poboljšati prepoznavanje i segmentaciju bolesti, te integraciju toga u robotske kirurške sustave Kroz analizu različitih metoda dubokog učenja, kao što su konvolucijske neuronske mreže, rad istražuje kako ove tehnologije mogu doprinijeti preciznijem i efikasnijem liječenju pacijenata.
Abstract (english)
The aim of this paper is to explore and describe the application of deep learning techniques in medicine. The paper focuses on explaining how deep learning can enhance disease recognition and segmentation, and the integration of this into robotic surgical systems. Through the analysis of various deep learning methods, such as convolutional neural networks, the paper investigates how these technologies can contribute to more precise and efficient patient treatment.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:851309
Study programmeTitle: Computer Science
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-10-02 12:21:48