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1 Ergebnisse
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Machine-learning with region-level radiomic and dosimetric ..:
Yang, Zhuolin
;
Noble, David J.
;
Shelley, Leila
...
Radiotherapy and Oncology. 183 (2023) - p. 109593 , 2023
Link:
https://doi.org/10.1016/j.radonc.2023.109593
RT Journal T1
Machine-learning with region-level radiomic and dosimetric features for predicting radiotherapy-induced rectal toxicities in prostate cancer patients
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.radonc.2023.109593&Exemplar=1&LAN=DE A1 Yang, Zhuolin A1 Noble, David J. A1 Shelley, Leila A1 Berger, Thomas A1 Jena, Raj A1 McLaren, Duncan B. A1 Burnet, Neil G. A1 Nailon, William H. PB Elsevier BV YR 2023 SN 0167-8140 JF Radiotherapy and Oncology VO 183 SP 109593 LK http://dx.doi.org/https://doi.org/10.1016/j.radonc.2023.109593 DO https://doi.org/10.1016/j.radonc.2023.109593 SF ELIB - SuUB Bremen
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