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Hierarchical forest attributes for multimodal tumor segment..:
, In:
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
,
Alvarez Padilla, Francisco Javier
;
Romaniuk, Barbara
;
Naegel, Benoit
... - p. 163-167 , 2018
Link:
https://doi.org/10.1109/ISBI.2018.8363546
RT T1 <cTitle>2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)</cTitle>: T1 <Title>Hierarchical forest attributes for multimodal tumor segmentation on FDG-PET/contrast-enhanced CT</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8363546&Exemplar=1&LAN=DE A1 Alvarez Padilla, Francisco Javier A1 Romaniuk, Barbara A1 Naegel, Benoit A1 Servagi-Vernat, Stephanie A1 Morland, David A1 Papathanassiou, Dimitri A1 Passat, Nicolas YR 2018 SN 1945-8452 K1 Tumors K1 Image segmentation K1 Cancer K1 Computed tomography K1 Biomedical imaging K1 Vegetation K1 multimodality K1 nuclear imaging K1 computed tomography K1 hierarchical models K1 region-based attributes SP 163 OP 167 LK http://dx.doi.org/https://doi.org/10.1109/ISBI.2018.8363546 DO https://doi.org/10.1109/ISBI.2018.8363546 SF ELIB - SuUB Bremen
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