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1 Ergebnisse
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Machine learning predicts conventional imaging metastasis-f..:
Cao, Yufeng
;
Sutera, Philip
;
Silva Mendes, William
...
Radiotherapy and Oncology. 199 (2024) - p. 110443 , 2024
Link:
https://doi.org/10.1016/j.radonc.2024.110443
RT Journal T1
Machine learning predicts conventional imaging metastasis-free survival (MFS) for oligometastatic castration-sensitive prostate cancer (omCSPC) using prostate-specific membrane antigen (PSMA) PET radiomics
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.radonc.2024.110443&Exemplar=1&LAN=DE A1 Cao, Yufeng A1 Sutera, Philip A1 Silva Mendes, William A1 Yousefi, Bardia A1 Hrinivich, Tom A1 Deek, Matthew A1 Phillips, Ryan A1 Song, Danny A1 Kiess, Ana A1 Cem Guler, Ozan A1 Torun, Nese A1 Reyhan, Mehmet A1 Sawant, Amit A1 Marchionni, Luigi A1 Simone, Nicole L. A1 Tran, Phuoc A1 Onal, Cem A1 Ren, Lei PB Elsevier BV YR 2024 SN 0167-8140 JF Radiotherapy and Oncology VO 199 SP 110443 LK http://dx.doi.org/https://doi.org/10.1016/j.radonc.2024.110443 DO https://doi.org/10.1016/j.radonc.2024.110443 SF ELIB - SuUB Bremen
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