Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Malgorzata Lorent"'
Autor:
Tomasz Les, Tomasz Markiewicz, Miroslaw Dziekiewicz, Jaime Gallego, Zaneta Swiderska-Chadaj, Malgorzata Lorent
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract This article presents a novel multiple organ localization and tracking technique applied to spleen and kidney regions in computed tomography images. The proposed solution is based on a unique approach to classify regions in different spatial
Externí odkaz:
https://doaj.org/article/e74037e874d34703822e459b9757d4b9
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 69, Iss 3 (2021)
Recently, the analysis of medical imaging is gaining substantial research interest, due to advancements in the computer vision field. Automation of medical image analysis can significantly improve the diagnosis process and lead to better prioritizati
Externí odkaz:
https://doaj.org/article/0e07171715f94b4bb3cbfdd74235757a
Publikováno v:
Applied Sciences, Vol 10, Iss 21, p 7512 (2020)
This article describes the automated computed tomography (CT) image processing technique supporting kidney detection. The main goal of the study is a fully automatic generation of a kidney boundary for each slice in the set of slices obtained in the
Externí odkaz:
https://doaj.org/article/cf0c310ca33342e4bdb6ff2182bdb3ed
Autor:
Mateusz Lysik, Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Tomasz Les, Szczepan Cierniak, Malgorzata Lorent
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3886a1070b993662f1b893773f91406
https://doi.org/10.1109/ijcnn55064.2022.9892634
https://doi.org/10.1109/ijcnn55064.2022.9892634
Autor:
Aleksandra Osowska-Kurczab, Tomasz Les, Tomasz Markiewicz, Miroslaw Dziekiewicz, Malgorzata Lorent, Szczepan Cierniak, Danilo Costarelli, Marco Seracini, Gianluca Vinti
Publikováno v:
Expert Systems with Applications. 213:118836
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42c683fcdf21c9e5f33931691e888b94
https://doi.org/10.1016/j.eswa.2022.118836
https://doi.org/10.1016/j.eswa.2022.118836
Autor:
Zaneta Swiderska, Anna Korzynska, Tomasz Markiewicz, Malgorzata Lorent, Jakub Zak, Anna Wesolowska, Lukasz Roszkowiak, Janina Slodkowska, Bartlomiej Grala
Publikováno v:
Analytical Cellular Pathology, Vol 2015 (2015)
Background. This paper presents the study concerning hot-spot selection in the assessment of whole slide images of tissue sections collected from meningioma patients. The samples were immunohistochemically stained to determine the Ki-67/MIB-1 prolife
Externí odkaz:
https://doaj.org/article/b84f294f457b444d9a62a6c5b0575ce6
Publikováno v:
IJCNN
The article presents an innovative technique of kidney detection in computed tomography images. The proposed system is based on a batch-based synthesis algorithm, never used in medical image processing before. The manuscript presents key points: U-Ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a633139af179eb747ca0e562a5486367
https://doi.org/10.1109/ijcnn52387.2021.9534007
https://doi.org/10.1109/ijcnn52387.2021.9534007
Publikováno v:
2020 IEEE 21st International Conference on Computational Problems of Electrical Engineering (CPEE).
Current advances in Computer Vision allowed solving the vast majority of tasks in this field. However, the analysis of medical imaging still requires specialized algorithms, usually employing a lot of expert knowledge. This research aims to create an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bae27a3cef1e3c7a0a3c3e5121400d0a
https://doi.org/10.1109/cpee50798.2020.9238757
https://doi.org/10.1109/cpee50798.2020.9238757
Publikováno v:
IJCNN
The article presents an innovative method of scanning slices in computed tomography. The presented technique allows for automatically generation of three-dimensional projection, determined by X-Y-Z surfaces. Projections allow to calculate Kidney-Regi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04905589a3874127ed25a435f08d4265
https://doi.org/10.1109/ijcnn48605.2020.9206868
https://doi.org/10.1109/ijcnn48605.2020.9206868
Publikováno v:
IJCNN
Recent advancements in deep learning have opened new prospects in many areas of research. Especially interesting field is biomedical image analysis, where plenty of problems wait for efficient solution. The aim of this work is to develop new approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::805fb7f09942f5d225d6235d6c7e3a98
https://doi.org/10.1109/ijcnn48605.2020.9206655
https://doi.org/10.1109/ijcnn48605.2020.9206655