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A deep learning approach to radiation dose estimation

Götz, Th. I. ; Schmidkonz, C. ; Chen, S. ; Al-Baddai, S. ; Kuwert, T. ; Lang, E. W.


Currently methods for predicting absorbed dose after administering a radiopharmaceutical are rather crude in daily clinical practice. Most importantly, individual tissue density distributions as well as local variations of the concentration of the radiopharmaceutical are commonly neglected. The current study proposes machine learning techniques like Green's function-based empirical mode ...


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