Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Model based segmentations"'
Publikováno v:
IEEE Access, Vol 7, Pp 153869-153884 (2019)
Accurate and fast foreground object extraction is very important for object tracking and recognition in video surveillance. Although many background subtraction (BGS) methods have been proposed in the recent past, it is still regarded as a tough prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df0b4d9e4e43970fdec3470560cdc8a8
https://doi.org/10.1109/access.2019.2899348
https://doi.org/10.1109/access.2019.2899348
Autor:
Angelique M. Berens, Christoph Langguth, Annaliese Ashman, Marcel Lüthi, Oliver Knapp, Florian Jung, Kris S. Moe, Yangming Li, Mauricio Orbes-Arteaga, Stefan Wesarg, Thomas Albrecht, Antong Chen, Tobias Gass, Rainer Schubert, Karl D. Fritscher, Paolo Zaffino, Nava Aghdasi, Maria Francesca Spadea, Germán Castellanos-Domínguez, Gregory C. Sharp, G.R. Vincent, Alan Brett, Richard Mannion-Haworth, Benoit M. Dawant, David Cárdenas-Peña, Gwenael Guillard, Blake Hannaford, Patrik Raudaschl, Michael A. Bowes
Publikováno v:
Medical Physics. 44:2020-2036
Purpose Automated delineation of structures and organs is a key step in medical imaging. However, due to the large number and diversity of structures and the large variety of segmentation algorithms, a consensus is lacking as to which automated segme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2cc540e053203a4f9b86dd26a147612
https://doi.org/10.1002/mp.12197
https://doi.org/10.1002/mp.12197