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1 Ergebnisse
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Machine learning-based quantitative texture analysis of con..:
Alis, Deniz
;
Bagcilar, Omer
;
Senli, Yeseren Deniz
...
Japanese Journal of Radiology. 38 (2019) 2 - p. 135-143 , 2019
Link:
https://doi.org/10.1007/s11604-019-00902-7
RT Journal T1
Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s11604-019-00902-7&Exemplar=1&LAN=DE A1 Alis, Deniz A1 Bagcilar, Omer A1 Senli, Yeseren Deniz A1 Yergin, Mert A1 Isler, Cihan A1 Kocer, Naci A1 Islak, Civan A1 Kizilkilic, Osman PB Springer Science and Business Media LLC YR 2019 SN 1867-1071 SN 1867-108X JF Japanese Journal of Radiology VO 38 IS 2 SP 135 OP 143 LK http://dx.doi.org/https://doi.org/10.1007/s11604-019-00902-7 DO https://doi.org/10.1007/s11604-019-00902-7 SF ELIB - SuUB Bremen
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