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EMT for HDR-BT
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Description: The current study develops an automatic analysis tool of EMT data sets recorded with a solenoid sensor to assure concordance of the source move- ment with the treatment plan. The tool combines machine learning tech- niques such as multi-dimensional scaling (MDS), ensemble empirical mode decomposition (EEMD), singular spectrum analysis (SSA) and particle filter (PF) to precisely detect and quantify any mismatch between the treatment plan and actual EMT measurements.
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