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pro vyhledávání: '"Fedoruk, Oleksandr"'
Publikováno v:
Machine Graphics and Vision, 32(3/4), 107-124 (2023)
The availability of training data is one of the main limitations in deep learning applications for medical imaging. Data augmentation is a popular approach to overcome this problem. A new approach is a Machine Learning based augmentation, in particul
Externí odkaz:
http://arxiv.org/abs/2401.14705
Publikováno v:
AIP Conf. Proc. 3061, 030001 (2024)
The biggest challenge in the application of deep learning to the medical domain is the availability of training data. Data augmentation is a typical methodology used in machine learning when confronted with a limited data set. In a classical approach
Externí odkaz:
http://arxiv.org/abs/2304.09067
Publikováno v:
AIP Conference Proceedings; 2024, Vol. 3061 Issue 1, p1-20, 20p
Publikováno v:
Machine Graphics & Vision; 2023, Vol. 32 Issue 3/4, p107-124, 18p
Akademický článek
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The SARS-CoV-2 virus is able to damage the blood-testicular barrier and testicular and epididymal tissues. Cytokine release syndrome due to COVID-19 can lead to suppression of the hypothalamic-pituitary-gonadal axis, disorders of the blood-testicular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::c88282961e51e6d718135f2c9f480f6c
https://zenodo.org/record/8055039
https://zenodo.org/record/8055039
Autor:
FEDORUK, OLEKSANDR
Publikováno v:
Contemporary Art / Sučasne Mistectvo; 2022, Issue 18, p307-320, 14p
Publikováno v:
Wiadomości Lekarskie; May2020, Vol. 73 Issue 5, p1011-1015, 5p