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1 Ergebnisse
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Semi‐supervised auto‐segmentation method for pelvic organ‐a..:
Li, Xianan
;
Jia, Lecheng
;
Lin, Fengyu
...
Journal of Applied Clinical Medical Physics. 25 (2024) 3 - p. , 2024
Link:
https://doi.org/10.1002/acm2.14296
RT Journal T1
Semi‐supervised auto‐segmentation method for pelvic organ‐at‐risk in magnetic resonance images based on deep‐learning
UL https://suche.suub.uni-bremen.de/peid=cr-10.1002_acm2.14296&Exemplar=1&LAN=DE A1 Li, Xianan A1 Jia, Lecheng A1 Lin, Fengyu A1 Chai, Fan A1 Liu, Tao A1 Zhang, Wei A1 Wei, Ziquan A1 Xiong, Weiqi A1 Li, Hua A1 Zhang, Min A1 Wang, Yi PB Wiley YR 2024 SN 1526-9914 SN 1526-9914 JF Journal of Applied Clinical Medical Physics VO 25 IS 3 LK http://dx.doi.org/https://doi.org/10.1002/acm2.14296 DO https://doi.org/10.1002/acm2.14296 SF ELIB - SuUB Bremen
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