Diabeettisen retinopatian seulonta koneoppimisen avulla

Tutkielmassa perehdytään diabeettisen retinopatian seulontaan koneoppimisella. Seulonta ja sen sujuvoittaminen on tärkeää, sillä diabeettinen retinopatia hoitamattomana voi pahimmassa tapauksessa sokeuttaa potilaan. Koneoppimisratkaisut ovat saaneet hyväksyntöjä seulonta käyttöön, sillä niiden on...

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Main Author: Puttonen, Aleksi
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Format: Bachelor's thesis
Language:fin
Published: 2021
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/79136
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author Puttonen, Aleksi
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_facet Puttonen, Aleksi Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Puttonen, Aleksi Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_sort Puttonen, Aleksi
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description Tutkielmassa perehdytään diabeettisen retinopatian seulontaan koneoppimisella. Seulonta ja sen sujuvoittaminen on tärkeää, sillä diabeettinen retinopatia hoitamattomana voi pahimmassa tapauksessa sokeuttaa potilaan. Koneoppimisratkaisut ovat saaneet hyväksyntöjä seulonta käyttöön, sillä niiden on huomattu olevan tarpeeksi tarkkoja luokittelussa. Koneoppimisratkaisut tuovat monia hyötyjä seulontaan, ne esimerkiksi nopeuttavat diagnoosin valmistumista This thesis covers screening for diabetic retinopathy using machine learning. Screening and its streamlining are important, as untreated diabetic retinopathy can, in the worst case, blind the patient. Machine learning solutions has received approvals for screening, as they have been found to be enough accurate in classification. Machine learning solutions bring many benefits to screening, such as speeding up the completion of a diagnosis
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spellingShingle Puttonen, Aleksi Diabeettisen retinopatian seulonta koneoppimisen avulla retinopatia silmänpohja Tietotekniikka Mathematical Information Technology 602 diabetes silmätaudit verkkokalvon sairaudet seulonta koneoppiminen diagnostiikka neuroverkot
title Diabeettisen retinopatian seulonta koneoppimisen avulla
title_full Diabeettisen retinopatian seulonta koneoppimisen avulla
title_fullStr Diabeettisen retinopatian seulonta koneoppimisen avulla Diabeettisen retinopatian seulonta koneoppimisen avulla
title_full_unstemmed Diabeettisen retinopatian seulonta koneoppimisen avulla Diabeettisen retinopatian seulonta koneoppimisen avulla
title_short Diabeettisen retinopatian seulonta koneoppimisen avulla
title_sort diabeettisen retinopatian seulonta koneoppimisen avulla
title_txtP Diabeettisen retinopatian seulonta koneoppimisen avulla
topic retinopatia silmänpohja Tietotekniikka Mathematical Information Technology 602 diabetes silmätaudit verkkokalvon sairaudet seulonta koneoppiminen diagnostiikka neuroverkot
topic_facet 602 Mathematical Information Technology Tietotekniikka diabetes diagnostiikka koneoppiminen neuroverkot retinopatia seulonta silmänpohja silmätaudit verkkokalvon sairaudet
url https://jyx.jyu.fi/handle/123456789/79136 http://www.urn.fi/URN:NBN:fi:jyu-202112226118
work_keys_str_mv AT puttonenaleksi diabeettisenretinopatianseulontakoneoppimisenavulla