Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Kenrick Schulze"'
Autor:
Bernhard Föllmer, Sotirios Tsogias, Federico Biavati, Kenrick Schulze, Maria Bosserdt, Lars Gerrit Hövermann, Sebastian Stober, Wojciech Samek, Klaus F. Kofoed, Pál Maurovich-Horvat, Patrick Donnelly, Theodora Benedek, Michelle C. Williams, Marc Dewey
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Objectives To develop and evaluate a multi-task deep-learning (DL) model for automated segment-level coronary artery calcium (CAC) scoring on non-contrast computed tomography (CT) for precise localization and quantification of calcifications
Externí odkaz:
https://doaj.org/article/3439ea4a93bf4726a7f48233ecca1ace
Healthcare guided by semantic segmentation has the potential to improve our quality of life through early and accurate disease detection. Convolutional Neural Networks, especially the U-Net-based architectures, are currently the state-of-the-art lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66083ffb5c5c0959623bd993f5a20ecd
https://doi.org/10.1101/2022.12.01.518699
https://doi.org/10.1101/2022.12.01.518699