Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Lukas Hruska"'
Autor:
Lukas Lambert, Petr Ourednicek, Jan Briza, Walter Giepmans, Jiri Jahoda, Lukas Hruska, Jan Danes
Publikováno v:
PeerJ, Vol 4, p e1883 (2016)
Purpose. The purpose of this study was to evaluate the technical and diagnostic performance of sub-milliSievert ultralow-dose (ULD) CT colonograpy (CTC) in the detection of colonic and extracolonic lesions. Materials and Methods. CTC with standard do
Externí odkaz:
https://doaj.org/article/64d7db2284c340d8a3ae85b61a58f00b
Autor:
Marian Mach, Peter Sincak, Ivan Cik, Fouzia Adjailia, Andrinandrasana David Rasamoelina, Miroslav Jascur, Jan Magyar, Marek Bundzel, Lukas Hruska
Publikováno v:
Towards Digital Intelligence Society ISBN: 9783030638719
Convolutional neural networks are the state-of-the-art approach for advanced computer vision tasks, as they offer capabilities beyond straightforward application for image processing. This review provides an introduction to five areas where convoluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a246fd9b925000c462a98f2c691a7e57
https://doi.org/10.1007/978-3-030-63872-6_2
https://doi.org/10.1007/978-3-030-63872-6_2
Publikováno v:
2020 IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI).
This paper demonstrates the application of cloudbased social robots in real world scenario - anti-dementia exercises for elderly people. Social robotics is a major issue in the field of rehabilitation and treatment of patients with dementia. Human-ro
Publikováno v:
2020 IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI).
This article focuses on the issue of rehabilitation of patients with motor impairment using computer games. The rehabilitation industry has been experiencing a boom in recent years, coupled with the growing popularity of virtual reality technology, a
Autor:
Jiri Jahoda, Lukas Lambert, Walter Giepmans, Petr Ourednicek, Jan Daneš, Lukas Hruska, Jan Briza
Publikováno v:
PeerJ, Vol 4, p e1883 (2016)
PeerJ
PeerJ
Purpose.The purpose of this study was to evaluate the technical and diagnostic performance of sub-milliSievert ultralow-dose (ULD) CT colonograpy (CTC) in the detection of colonic and extracolonic lesions.Materials and Methods.CTC with standard dose
Publikováno v:
Inteligencia Artificial, Vol 25, Iss 70 (2022)
Activation functions play an important role in the convergence of learning algorithms based on neural networks. Theyprovide neural networks with nonlinear ability and the possibility to fit in any complex data. However, no deep study exists in thelit
Externí odkaz:
https://doaj.org/article/21c687e93f0c4ff0b10be6a35cf4e7fb