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Finding Seed Points For Organ Segmentation Using Example Annotations

Organ segmentation is important in diagnostic medicine to make current decision support tools more eff ective and efficient. Performing it automatically can save time and labor. In this paper, a method to perform automatic identication of seed points for the segmentation of organs in three-dimensional (3D) non-annotated, full-body magnetic resonance (MR) and computed tomography (CT) volumes is presented. It uses 3D MR and CT acquisitions along with corresponding organ annotations from the Visual Concept Extraction Challenge in Radiology (VISCERAL) banchmark.

Additional information

Contact

Ranveer Joyseeree

Conférencier-ère

Ranveer Joyseeree, Henning Müller

Nom du congrès, lieu, date

SPIE Medical Imaging, San Diego (USA), du 15.02.2014 au 20.02.2014

Url

http://spie.org/x12166.xml