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1 Ergebnisse
1
Prognosis of Abdominal Aortic Aneurysms: A Machine Learning..:
, In:
2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)
,
Garcia-Garcia, Fernando
;
von Tengg-Kobligk, Hendrik
;
Mougiakakou, Stavroula
... - p. 463-468 , 2017
Link:
https://doi.org/10.1109/CBMS.2017.158
RT T1
2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)
: T1
Prognosis of Abdominal Aortic Aneurysms: A Machine Learning-Enabled Approach Merging Clinical, Morphometric, Biomechanical and Texture Information
UL https://suche.suub.uni-bremen.de/peid=ieee-8104238&Exemplar=1&LAN=DE A1 Garcia-Garcia, Fernando A1 von Tengg-Kobligk, Hendrik A1 Mougiakakou, Stavroula A1 Metaxa, Eleni A1 Christodoulidis, Stergios A1 Anthimopoulos, Marios A1 Kontopodis, Nikolaos A1 Correa-Londono, Martina A1 Wyss, Thomas R. A1 Papaharilaou, Yannis A1 Ioannou, Christos V. YR 2017 SN 2372-9198 K1 Prognostics and health management K1 Biomechanics K1 Surgery K1 Aneurysm K1 Biomedical imaging K1 Stress K1 Indexes K1 Abdominal aortic aneurysm K1 growth rate K1 computer-aided prognosis K1 machine learning K1 texture analysis SP 463 OP 468 LK http://dx.doi.org/https://doi.org/10.1109/CBMS.2017.158 DO https://doi.org/10.1109/CBMS.2017.158 SF ELIB - SuUB Bremen
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