Benutzer: Gast  Login
Mehr Felder
Einfache Suche
Titel:

Hierarchical multi-organ segmentation without registration in 3D abdominal CT images

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Zografos, V.; Valentinitsch, A.; Rempfler, M.; Tombari, F.; Menze, B.
Abstract:
We present a novel framework for the segmentation of multiple organs in 3D abdominal CT images, which does not require registration with an atlas. Instead we use discriminative classifiers that have been trained on an array of 3D volumetric features and implicitly model the appearance of the organs of interest. We fully leverage all the available data and extract the features from inside supervoxels at multiple levels of detail. Parallel to this, we employ a hierarchical auto-context classificat...     »
Stichworte:
MICCAI-MCV,IBBM,Segmentation
Kongress- / Buchtitel:
International MICCAI Workshop on Medical Computer Vision
Ausrichter der Konferenz:
Springer
Jahr:
2015
Seiten:
37--46
 BibTeX