Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Pölönen, Ilkka"'
FPI Based Hyperspectral Imager for the Complex Surfaces : Calibration, Illumination and Applications
Autor:
Raita-Hakola, Anna-Maria, Annala, Leevi, Lindholm, Vivian, Trops, Roberts, Näsilä, Antti, Saari, Heikki, Ranki, Annamari, Pölönen, Ilkka
Hyperspectral imaging (HSI) applications for biomedical imaging and dermatological applications have been recently under research interest. Medical HSI applications are non-invasive methods with high spatial and spectral resolution. HS imaging can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1222::4958cb87420dc50b26682c948ac019f5
http://urn.fi/URN:NBN:fi:jyu-202205052555
http://urn.fi/URN:NBN:fi:jyu-202205052555
Autor:
Lindholm, Vivian, Raita-Hakola, Anna-Maria, Annala, Leevi, Salmivuori, Mari, Jeskanen, Leila, Koskenmies, Sari, Pitkänen, Sari, Saari, Heikki, Pölönen, Ilkka, Isoherranen, Kirsi, Ranki, Annamari
nonPeerReviewed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1222::8ea24edf8052b7d8a8720088ba119923
http://urn.fi/URN:NBN:fi:jyu-202208124033
http://urn.fi/URN:NBN:fi:jyu-202208124033
Autor:
Salmivuori, Mari, Lindholm, Vivian, Annala, Leevi, Raita-Hakola, Anna-Maria, Jeskanen, Leila, Pölönen, Ilkka, Koskenmies, Sari, Pitkänen, Sari, Isoherranen, Kirsi, Ranki, Annamari
nonPeerReviewed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1222::d1c8043fc5c5d5b37732d4bd7d7b3f96
http://urn.fi/URN:NBN:fi:jyu-202208174198
http://urn.fi/URN:NBN:fi:jyu-202208174198
Recent developments in deep learning have impacted medical science. However, new privacy issues and regulatory frameworks have hindered medical data sharing and collection. Deep learning is a very data-intensive process for which such regulatory limi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1222::9f33415fbaffa913c9465a2b9309f72e
http://urn.fi/URN:NBN:fi:jyu-202211165245
http://urn.fi/URN:NBN:fi:jyu-202211165245
Publikováno v:
Applied Sciences
Volume 10
Issue 20
Applied Sciences, Vol 10, Iss 7097, p 7097 (2020)
Volume 10
Issue 20
Applied Sciences, Vol 10, Iss 7097, p 7097 (2020)
In this study, we compare six different machine learning methods in the inversion of a stochastic model for light propagation in layered media, and use the inverse models to estimate four parameters of the skin from the simulated data: melanin concen
Autor:
Tuominen, Heli, Neittaanmäki, Pekka, Niinimäki, Esko, Pölönen, Ilkka, Rautiainen, Ilkka, Äyrämö, Sami, Ruohonen, Toni, Nyrhinen, Riku, Ojalainen, Anniina, Vähäkainu, Petri, Äyrämö, Sanna-Mari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1222::f5a8abaee3bb9bd53ba7a0f64dc4030a
http://urn.fi/URN:ISBN:978-951-39-7796-2
http://urn.fi/URN:ISBN:978-951-39-7796-2