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1 Ergebnisse
1
Longitudinal MRI-based fusion novel model predicts patholog..:
YuHong Huang
;
Teng Zhu
;
XiaoLing Zhang
...
http://www.sciencedirect.com/science/article/pii/S2589537023000767. , 2023
Link:
https://doi.org/10.1016/j.eclinm.2023.101899
RT Journal T1 <Title>Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective studyResearch in context</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:24a0e9ab949a4d4a8eaaf4fc89af0a4f&Exemplar=1&LAN=DE A1 YuHong Huang A1 Teng Zhu A1 XiaoLing Zhang A1 Wei Li A1 XingXing Zheng A1 MinYi Cheng A1 Fei Ji A1 LiuLu Zhang A1 CiQiu Yang A1 ZhiYong Wu A1 GuoLin Ye A1 Ying Lin A1 Kun Wang PB Elsevier YR 2023 K1 Breast cancer K1 Multi-parametric MRI K1 Neoadjuvant chemotherapy K1 Pathological complete response K1 Longitudinal radiomics K1 Deep learning K1 Medicine (General) K1 R5-920 JF http://www.sciencedirect.com/science/article/pii/S2589537023000767 LK http://dx.doi.org/https://doi.org/10.1016/j.eclinm.2023.101899 DO https://doi.org/10.1016/j.eclinm.2023.101899 SF ELIB - SuUB Bremen
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