Syväoppimismallien hyödyntäminen Alzheimerin taudin diagnosointiin MRI-kuvista

Alzheimerin tauti on etenevä neurodegeneratiivinen sairaus, joka heikentää muistia ja muita kognitiivisia toimintoja. Varhainen diagnosointi on keskeistä, sillä ajoissa aloitettu hoito voi hidastaa taudin etenemistä ja parantaa potilaan elämänlaatua. Syväoppimismallit ovat osoittautuneet lupaaviksi...

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Päätekijä: Salin, Kaisla
Muut tekijät: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Aineistotyyppi: Kandityö
Kieli:fin
Julkaistu: 2025
Aiheet:
Linkit: https://jyx.jyu.fi/handle/123456789/101867
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author Salin, Kaisla
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_facet Salin, Kaisla Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Salin, Kaisla Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_sort Salin, Kaisla
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description Alzheimerin tauti on etenevä neurodegeneratiivinen sairaus, joka heikentää muistia ja muita kognitiivisia toimintoja. Varhainen diagnosointi on keskeistä, sillä ajoissa aloitettu hoito voi hidastaa taudin etenemistä ja parantaa potilaan elämänlaatua. Syväoppimismallit ovat osoittautuneet lupaaviksi työkaluiksi MRI-kuvien analysoinnissa, tarjoten tarkkuutta ja tehokkuutta perinteisten diagnoosimenetelmien rinnalle. Keskeisimpiä haasteita ovat datan saatavuus ja laatu sekä eettiset kysymykset, kuten tietosuoja. Alzheimer's disease is a progressive neurodegenerative disorder that impairs memory and other cognitive functions. Early diagnosis is essential, as timely treatment can slow the progression of the disease and improve the patient's quality of life. Deep learning models have proven to be promising tools in the analysis of MRI images, offering accuracy and efficiency alongside traditional diagnostic methods. The main challenges include the availability and quality of data, as well as ethical issues such as data privacy.
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spellingShingle Salin, Kaisla Syväoppimismallien hyödyntäminen Alzheimerin taudin diagnosointiin MRI-kuvista Tietotekniikka Mathematical Information Technology magneettikuvaus Alzheimerin tauti diagnostiikka neuroverkot tekoäly
title Syväoppimismallien hyödyntäminen Alzheimerin taudin diagnosointiin MRI-kuvista
title_full Syväoppimismallien hyödyntäminen Alzheimerin taudin diagnosointiin MRI-kuvista
title_fullStr Syväoppimismallien hyödyntäminen Alzheimerin taudin diagnosointiin MRI-kuvista Syväoppimismallien hyödyntäminen Alzheimerin taudin diagnosointiin MRI-kuvista
title_full_unstemmed Syväoppimismallien hyödyntäminen Alzheimerin taudin diagnosointiin MRI-kuvista Syväoppimismallien hyödyntäminen Alzheimerin taudin diagnosointiin MRI-kuvista
title_short Syväoppimismallien hyödyntäminen Alzheimerin taudin diagnosointiin MRI-kuvista
title_sort syväoppimismallien hyödyntäminen alzheimerin taudin diagnosointiin mri kuvista
title_txtP Syväoppimismallien hyödyntäminen Alzheimerin taudin diagnosointiin MRI-kuvista
topic Tietotekniikka Mathematical Information Technology magneettikuvaus Alzheimerin tauti diagnostiikka neuroverkot tekoäly
topic_facet Alzheimerin tauti Mathematical Information Technology Tietotekniikka diagnostiikka magneettikuvaus neuroverkot tekoäly
url https://jyx.jyu.fi/handle/123456789/101867 http://www.urn.fi/URN:NBN:fi:jyu-202505084108
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