Koneoppiminen radiologiassa

Koneoppiminen on kehittynyt viime aikoina nopeaa vauhtia ja sitä on sovellettu monilla eri aloilla. Tässä kirjallisuuskatsauksessa käsitellään koneoppimisen soveltamista radiologian kuvantamisessa ja siihen liittyviä haasteita. Tutkielmassa käytiin läpi kolmea sovelluskohdetta kuvantamisessa sekä ha...

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Main Author: Patronen, Saska
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Format: Bachelor's thesis
Language:fin
Published: 2024
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/93865
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author Patronen, Saska
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_facet Patronen, Saska Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Patronen, Saska Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_sort Patronen, Saska
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description Koneoppiminen on kehittynyt viime aikoina nopeaa vauhtia ja sitä on sovellettu monilla eri aloilla. Tässä kirjallisuuskatsauksessa käsitellään koneoppimisen soveltamista radiologian kuvantamisessa ja siihen liittyviä haasteita. Tutkielmassa käytiin läpi kolmea sovelluskohdetta kuvantamisessa sekä havaittiin koneoppimiseen liittyviä haasteita radiologiassa. Haasteille kuitenkin löytyi ehdotettuja ratkaisuja. Machine learning has developed rapidly in recent times and has been applied in a wide range of fields. This literature review discusses the application of machine learning in radiology imaging and the challenges involved. The thesis reviewed three applications in imaging and identified challenges related to machine learning in radiology. However, proposed solutions to these challenges were found.
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spellingShingle Patronen, Saska Koneoppiminen radiologiassa Tietotekniikka Mathematical Information Technology 602 koneoppiminen neuroverkot tekoäly radiologia syväoppiminen
title Koneoppiminen radiologiassa
title_full Koneoppiminen radiologiassa
title_fullStr Koneoppiminen radiologiassa Koneoppiminen radiologiassa
title_full_unstemmed Koneoppiminen radiologiassa Koneoppiminen radiologiassa
title_short Koneoppiminen radiologiassa
title_sort koneoppiminen radiologiassa
title_txtP Koneoppiminen radiologiassa
topic Tietotekniikka Mathematical Information Technology 602 koneoppiminen neuroverkot tekoäly radiologia syväoppiminen
topic_facet 602 Mathematical Information Technology Tietotekniikka koneoppiminen neuroverkot radiologia syväoppiminen tekoäly
url https://jyx.jyu.fi/handle/123456789/93865 http://www.urn.fi/URN:NBN:fi:jyu-202403112327
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