Digitalna patologija

master's thesis

• Title (english): Digital pathology
• Author: Andrija Plavetić
• Mentor: Gorana Aralica (mentor)
• Committee member: Sven Seiwerth (predsjednik povjerenstva)
• Committee member: Lovorka Batelja-Vuletić (član povjerenstva)
• Committee member: Gorana Aralica (član povjerenstva)
• Granter: University of Zagreb; School of Medicine; (Department of Pathology); Zagreb
• Defense date and country: 2020-07-17, Croatia
• Scientific / art field, discipline and subdiscipline: BIOMEDICINE AND HEALTHCARE; Clinical Medical Sciences; Pathology

Abstract

Napredak tehnologije, pojava računala i interneta doveli su do promjene paradigme mnogih znanstvenih disciplina pa tako i patologije. Mogućnost pohrane fizičkog preparata tkiva na elektronički medij dovela je do revolucije u obradi i analizi patohistoloških preparata. Lakoća manipulacije digitalnim preparatima pridonijela je poboljšanju u postavljanju dijagnoza i traženju drugog mišljenja (konzultaciji), omogućila razvoj telepatologije te unaprijedila reevaluaciju, arhiviranje, dijeljenje i edukaciju. Također, digitalni preparat podložan je automatskoj softverskoj analizi temeljenoj na metodama strojnog učenja, grani umjetne inteligencije koja se bavi oblikovanjem algoritama koji svoju učinkovitost poboljšavaju na temelju empirijskih podataka. Takvi sustavi olakšavaju posao patologa, a potencijalno mogu i prepoznati uzorke u preparatima koje čovjek ne može uočiti. Digitalna patologija omogućila je dijeljenje preparata i konzultaciju s patolozima s drugog kraja svijeta u gotovo realnom vremenu. Uvođenjem računala i internetske mreže u slabije razvijene dijelove svijeta otvara se mogućnost dijagnostici u kojoj mogu sudjelovati stručnjaci iz udobnosti svojih domova.

Abstract (english)

Advances in technology, the advent of computers and the Internet have led to a paradigm shift in many scientific disciplines, including pathology. The ability to store a physical tissue preparation on an electronic medium has led to a revolution in processing and analysis of pathohistological slides. The ease of manipulation of virtual slides helped in improving the diagnostic process and seeking a second opinion (consultation), enabled rapid development of telepathology and simplified re-evaluation, archiving, sharing and education. Also, virtual slides are subject to automatic software analysis based on machine learning, a branch of artificial intelligence that deals with designing algorithms that improve their efficiency based on empirical data. Such systems facilitate the workflow of the pathologist, and can potentially recognize patterns in pathologic specimens that a human cannot detect. Digital pathology has made it possible to share slides online and consult with pathologists from all over the world in real time. The introduction of computers and the Internet in less developed countries opens the possibility of high quality diagnostics, which experts can participate in from the comfort of their homes.

• Keywords: digitalna patologija; strojno učenje
• Keywords (english): digital pathology; machine learning
• Language: croatian
• URN:NBN: urn:nbn:hr:105:206999
• Study programme: Title: Medicine; Study programme type: university; Study level: integrated undergraduate and graduate; Academic / professional title: doktor/doktorica medicine (doktor/doktorica medicine)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2021-03-03 10:08:36