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1 Ergebnisse
1
MVI-Mind: A Novel Deep-Learning Strategy Using Computed Tom..:
Liyang Wang
;
Meilong Wu
;
Rui Li
...
https://www.mdpi.com/2072-6694/14/12/2956. , 2022
Link:
https://doi.org/10.3390/cancers14122956
RT Journal T1
MVI-Mind: A Novel Deep-Learning Strategy Using Computed Tomography (CT)-Based Radiomics for End-to-End High Efficiency Prediction of Microvascular Invasion in Hepatocellular Carcinoma
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:677556914d1443328f75a76939ed8210&Exemplar=1&LAN=DE A1 Liyang Wang A1 Meilong Wu A1 Rui Li A1 Xiaolei Xu A1 Chengzhan Zhu A1 Xiaobin Feng PB MDPI AG YR 2022 K1 microvascular invasion K1 radiomics K1 end-to-end K1 deep learning K1 clinical decision K1 Neoplasms. Tumors. Oncology. Including cancer and carcinogens K1 RC254-282 JF https://www.mdpi.com/2072-6694/14/12/2956 LK http://dx.doi.org/https://doi.org/10.3390/cancers14122956 DO https://doi.org/10.3390/cancers14122956 SF ELIB - SuUB Bremen
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