Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch‐based three‐dimensional convolutional neural network

Purpose To develop and evaluate a patch‐based convolutional neural network (CNN) to generate synthetic computed tomography (sCT) images for magnetic resonance (MR)‐only workflow for radiotherapy of head and neck tumors. A patch‐based deep learning method was chosen to improve robustness to abnormal...

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Veröffentlicht in:Medical physics (Lancaster) 2019-09, Vol.46 (9), p.4095-4104
Hauptverfasser: Dinkla, Anna M., Florkow, Mateusz C., Maspero, Matteo, Savenije, Mark H. F., Zijlstra, Frank, Doornaert, Patricia A. H., Stralen, Marijn, Philippens, Marielle E. P., Berg, Cornelis A. T., Seevinck, Peter R.
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Sprache:eng
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