ImFEATbox: a toolbox for extraction and analysis of medical image features

Medientyp: E-Artikel
Titel: ImFEATbox: a toolbox for extraction and analysis of medical image features
Beteiligte: Liebgott, Annika; Küstner, Thomas; Strohmeier, Heiko; Hepp, Tobias; Mangold, Philipp; Martirosian, Petros; Bamberg, Fabian; Nikolaou, Konstantin; Yang, Bin; Gatidis, Sergios
Erschienen: Springer Science and Business Media LLC, 2018
Erschienen in: International Journal of Computer Assisted Radiology and Surgery, 13 (2018) 12, Seite 1881-1893
Sprache: Englisch
DOI: 10.1007/s11548-018-1859-7
ISSN: 1861-6429; 1861-6410
Schlagwörter: Health Informatics ; Radiology, Nuclear Medicine and imaging ; General Medicine ; Surgery ; Computer Graphics and Computer-Aided Design ; Computer Science Applications ; Computer Vision and Pattern Recognition ; Biomedical Engineering
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