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Predicting Treatment Response to Intra-arterial Therapies f..:
Abajian, Aaron
;
Murali, Nikitha
;
Savic, Lynn Jeanette
...
Journal of Vascular and Interventional Radiology. 29 (2018) 6 - p. 850-857.e1 , 2018
Link:
https://doi.org/10.1016/j.jvir.2018.01.769
RT Journal T1 <Title>Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning—An Artificial Intelligence Concept</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jvir.2018.01.769&Exemplar=1&LAN=DE A1 Abajian, Aaron A1 Murali, Nikitha A1 Savic, Lynn Jeanette A1 Laage-Gaupp, Fabian Max A1 Nezami, Nariman A1 Duncan, James S. A1 Schlachter, Todd A1 Lin, MingDe A1 Geschwind, Jean-François A1 Chapiro, Julius PB Elsevier BV YR 2018 SN 1051-0443 JF Journal of Vascular and Interventional Radiology VO 29 IS 6 SP 850 OP 857.e1 LK http://dx.doi.org/https://doi.org/10.1016/j.jvir.2018.01.769 DO https://doi.org/10.1016/j.jvir.2018.01.769 SF ELIB - SuUB Bremen
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