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pro vyhledávání: '"von Berg, Jens"'
Autor:
von Berg, Jens1 (AUTHOR) Jens.von.Berg@philips.com, Hergaarden, Kenneth F. M.2 (AUTHOR), Englmaier, Max3 (AUTHOR), Pfeiffer, Daniela3,4 (AUTHOR), Wieberneit, Nataly5 (AUTHOR), Krönke-Hille, Sven1 (AUTHOR), Harder, Tim1 (AUTHOR), Gooßen, André1 (AUTHOR), Bystrov, Daniel1 (AUTHOR), Brueck, Matthias1 (AUTHOR), Young, Stewart1 (AUTHOR), Lamb, Hildo J.2 (AUTHOR)
Publikováno v:
IMAGING. Jun2024, Vol. 16 Issue 1, p41-49. 9p.
Mask R-CNN is a state-of-the-art network architecture for the detection and segmentation of object instances in the computer vision domain. In this contribution, it is used to localize, label and segment individual ribs in anterior-posterior chest X-
Externí odkaz:
http://arxiv.org/abs/1908.08329
Autor:
Baltruschat, Ivo M., Steinmeister, Leonhard, Ittrich, Harald, Adam, Gerhard, Nickisch, Hannes, Saalbach, Axel, von Berg, Jens, Grass, Michael, Knopp, Tobias
Chest radiography is the most common clinical examination type. To improve the quality of patient care and to reduce workload, methods for automatic pathology classification have been developed. In this contribution we investigate the usefulness of t
Externí odkaz:
http://arxiv.org/abs/1810.07500
Autor:
Lenga, Matthias, Klinder, Tobias, Bürger, Christian, von Berg, Jens, Franz, Astrid, Lorenz, Cristian
Automated extraction and labeling of rib centerlines is a typically needed prerequisite for more advanced assisted reading tools that help the radiologist to efficiently inspect all 24 ribs in a CT volume. In this paper, we combine a deep learning-ba
Externí odkaz:
http://arxiv.org/abs/1809.07082
Autor:
Mader, Alexander Oliver, Lorenz, Cristian, Bergtholdt, Martin, von Berg, Jens, Schramm, Hauke, Modersitzki, Jan, Meyer, Carsten
Publikováno v:
In Computer Vision and Image Understanding November-December 2018 176-177:45-53
Autor:
Yamamoto, Tokihiro, Kabus, Sven, von Berg, Jens, Lorenz, Cristian, Chung, Melody P., Hong, Julian C., Loo, Billy W., Jr., Keall, Paul J.
Publikováno v:
In Academic Radiology December 2012 19(12):1554-1565
Autor:
Ecabert, Olivier, Peters, Jochen, Walker, Matthew J., Ivanc, Thomas, Lorenz, Cristian, von Berg, Jens, Lessick, Jonathan, Vembar, Mani, Weese, Jürgen
Publikováno v:
In Medical Image Analysis 2011 15(6):863-876
Publikováno v:
In International Journal of Radiation Oncology, Biology, Physics 2011 79(1):279-288
Akademický článek
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Mask R-CNN is a state-of-the-art network architecture for the detection and segmentation of object instances in the computer vision domain. In this contribution, it is used to localize, label and segment individual ribs in anterior-posterior chest X-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5774942194d531c81192844c3f6122c4
http://arxiv.org/abs/1908.08329
http://arxiv.org/abs/1908.08329