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1 Ergebnisse
1
Machine learning models predict lymph node metastasis in pa..:
Dong-lin Li
;
Lin Zhang
;
Hao-ji Yan
...
https://www.frontiersin.org/articles/10.3389/fonc.2022.986358/full. , 2022
Link:
https://doi.org/10.3389/fonc.2022.986358
RT Journal T1 <Title>Machine learning models predict lymph node metastasis in patients with stage T1-T2 esophageal squamous cell carcinoma</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:21efd89d7ed842b6b589e378f200db86&Exemplar=1&LAN=DE A1 Dong-lin Li A1 Lin Zhang A1 Hao-ji Yan A1 Yin-bin Zheng A1 Xiao-guang Guo A1 Sheng-jie Tang A1 Hai-yang Hu A1 Hang Yan A1 Chao Qin A1 Jun Zhang A1 Hai-yang Guo A1 Hai-ning Zhou A1 Dong Tian PB Frontiers Media S.A. YR 2022 K1 esophageal squamous cell carcinoma K1 machine learning K1 lymph node metastasis K1 predictive model K1 stage T1-T2 K1 Neoplasms. Tumors. Oncology. Including cancer and carcinogens K1 RC254-282 JF https://www.frontiersin.org/articles/10.3389/fonc.2022.986358/full LK http://dx.doi.org/https://doi.org/10.3389/fonc.2022.986358 DO https://doi.org/10.3389/fonc.2022.986358 SF ELIB - SuUB Bremen
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