Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Łukasz JELEŃ"'
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 70, Iss No 1 (2024)
Electrocardiography is an examination performed frequently in patients experiencing symptoms of heart disease. Upon a detailed analysis, it has shown potential to detect and identify various activities. In this article, we present a deep learning app
Externí odkaz:
https://doaj.org/article/22f5cf83fbde44b8bbfc4b19c3f45f47
Publikováno v:
Agronomy, Vol 13, Iss 3, p 855 (2023)
Multi-component fertilization has been found to have effects on grass metabolism, such as the stimulation of life processes and the reduction of adverse environmental conditions and pathogens. The research aimed to determine the bonitation value (ass
Externí odkaz:
https://doaj.org/article/925a99b67c7d42a097c63c0e84f9536a
Publikováno v:
CLC 2022 Conference Proeedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b633d0b362675d564714ee02a3cf938
https://doi.org/10.37904/clc.2022.4570
https://doi.org/10.37904/clc.2022.4570
Autor:
Marta Emirsajłow, Łukasz Jeleń
Publikováno v:
Proceedings of Sixth International Congress on Information and Communication Technology ISBN: 9789811623790
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c0859161f44a53e4714242f2e779020
https://doi.org/10.1007/978-981-16-2380-6_45
https://doi.org/10.1007/978-981-16-2380-6_45
Autor:
Łukasz Jeleń, Mikołaj Skubisz
Publikováno v:
Computer Information Systems and Industrial Management ISBN: 9783030843397
CISIM
CISIM
World Health Organization reports that cardiovascular diseases are the main cause of death worldwide. To prevent the premature death rate it is important to ensure appropriate treatment. This is one of the most important WHO targets related to cardio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34f73c635e75a49a2ad7c064af432fd2
https://doi.org/10.1007/978-3-030-84340-3_28
https://doi.org/10.1007/978-3-030-84340-3_28
Autor:
Anita Rybiałek, Łukasz Jeleń
Publikováno v:
Computer Information Systems and Industrial Management ISBN: 9783030476786
CISIM
CISIM
In this study, we focus on the problem of a breast cancer diagnosis using mammography images by classifying them as belonging either to a negative or to a malignant mass class. We explore the potential of densely connected convolutional neural networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7da17e3f3f76c8485fd61ac4e1e0a96d
https://doi.org/10.1007/978-3-030-47679-3_23
https://doi.org/10.1007/978-3-030-47679-3_23
Publikováno v:
Theory and Applications of Dependable Computer Systems ISBN: 9783030482558
During breast cancer a small tissue sample is extracted and evaluated to estimate the malignancy of the growth and the possible treatment. When a difficult case is diagnosed, a more accurate diagnosis based on fluorescence in situ hybridization imagi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff0d53b941f86d3f8185a5cd5df0e878
https://doi.org/10.1007/978-3-030-48256-5_3
https://doi.org/10.1007/978-3-030-48256-5_3
Autor:
Łukasz Jeleń
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030298845
In breast cancer diagnosis, fine needle aspiration biopsy is an important diagnostic tool. It is used to estimate cancer malignancy grade that is further required for treatment determination. In this paper we describe a scheme based on pattern recogn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02f0f54188153f601e4aad7959ff4ac0
https://doi.org/10.1007/978-3-030-29885-2_10
https://doi.org/10.1007/978-3-030-29885-2_10
Publikováno v:
Applied Soft Computing. 38:714-726
Graphical abstractDisplay Omitted HighlightsAutomatic clinical decision support system for breast cancer malignancy grading.Different methodologies for segmentation and feature extraction from FNA slides.An efficient classifier ensemble for imbalance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fbeb01a35d7ff5346856362e7921961
https://doi.org/10.1016/j.asoc.2015.08.060
https://doi.org/10.1016/j.asoc.2015.08.060
Publikováno v:
Computer Information Systems and Industrial Management ISBN: 9783319999531
CISIM
CISIM
Semantic segmentation of medical images is an area of active research all over the world. It can dramatically improve accuracy and efficiency of diagnosis if used properly. High reliability of potential solutions is required to support specialists. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::393ba1fad5c4a99e471f92d3dece9397
https://doi.org/10.1007/978-3-319-99954-8_6
https://doi.org/10.1007/978-3-319-99954-8_6