Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Maksym Walczak"'
Autor:
Barbara Bobek-Billewicz, Izabela Burda, Jakub Nalepa, Maksym Walczak, Krzysztof Kotowski, Pablo Ribalta Lorenzo, Grzegorz Mrukwa, M. Marcinkiewicz, Michal Kawulok, Wojciech Dudzik, Michael P. Hayball, Pawel Wawrzyniak, Pawel Ulrych, Bartosz Machura
Publikováno v:
Artificial Intelligence in Medicine. 102:101769
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays an important role in diagnosis and grading of brain tumors. Although manual DCE biomarker extraction algorithms boost the diagnostic yield of DCE-MRI by providing quantitative infor
Publikováno v:
Real-Time Image and Video Processing 2018.
Computed tomography (CT) imaging became an indispensable modality exploited across a vast spectrum of clinical indications for diagnosis and follow-up, alongside various image-guided procedures, especially in patients with lung cancer. Accurate lung
Publikováno v:
Real-Time Image and Video Processing 2018.
Cortical surface extraction from magnetic resonance (MR) scans is a preliminary, yet crucial step in brain segmentation and analysis. Although there are many algorithms that address this problem, they often sacrifice execution speed for accuracy or t
Publikováno v:
Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation ISBN: 9783319582733
BDAS
BDAS
Image segmentation is an initial, yet crucial procedure in a number of medical imaging systems. Despite the existence of numerous generic solutions that address this problem, there is still a need for developing fast and accurate techniques specializ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b460197438080cc23f09fbfe059a556
https://doi.org/10.1007/978-3-319-58274-0_32
https://doi.org/10.1007/978-3-319-58274-0_32
Publikováno v:
AIP Conference Proceedings.
We present a parallel mean shift algorithm running on CUDA and its possible application in segmentation of multispectral images. The aim of this paper is to present a method of analyzing highly noised multispectral images of various objects, so that
Publikováno v:
FedCSIS
An algorithm for extracting material shape and spatial information from non-uniform background, and for generating object skeletons for statistical two-dimensional experiments using random walk approach, is presented. This finds applications in texti