Zobrazeno 1 - 10
of 24
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:
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
Autor:
Mateusz Lysik, Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Tomasz Les, Szczepan Cierniak, Malgorzata Lorent
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
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
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
Autor:
Anna Płatkowska, Monika Słowińska, Joanna Zalewska, Zbigniew Swacha, Anna Szumera-Ciećkiewicz, Michał Wągrodzki, Janusz Patera, Katarzyna Łapieńska-Rey, Małgorzata Lorent, Iwona Ługowska, Piotr Rutkowski, Witold Owczarek
Publikováno v:
Journal of Clinical Medicine, Vol 13, Iss 15, p 4377 (2024)
Background: Non-melanocytic benign skin tumours encompass a diverse group of lesions, classified based on their cellular origin, such as epidermal, vascular, fibrous, neural, muscle, and adnexal tumours. Though they often reveal solitary lesions, mul
Externí odkaz:
https://doaj.org/article/b6acbfe51b0243a7b61c5a9f0afdaa0a
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
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