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EMTLAB: A Toolbox for the Analysis of Electromagnetic Tracking Data in Brachytherapy

URN to cite this document:
urn:nbn:de:bvb:355-epub-365753
DOI to cite this document:
10.5283/epub.36575
Goetz, Th. I. ; Herzberger, F. ; Tome, A. M. ; Hensel, B. ; Lang, Elmar W.
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License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 25 Jan 2018 09:51


Abstract

Background: High dose rate brachytherapy (HDR-BT) of female breast cancer patients relies on electromagnetic tracking (EMT) for localizing the prescribed dwell positions of the radiation source. A collection of machine learning techniques like Particle Filtering (PF), Singular Spectrum Analysis (SSA), Ensemble and Multivariate Empirical Mode Decomposition (EEMD/MEMD) represent powerful signal ...

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