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A Fully Automatic Anatomical, Pathological and Fonctionnal Segmentation from CT-scans for Hepatic Surgery

Luc Soler 1 Hervé Delingette 2, * Grégoire Malandain 2, * Johan Montagnat 3, * Nicholas Ayache 2, * Jean-Marie Clément Christophe Koehl Olivier Dourthe Didier Mutter Jacques Marescaux 1 
* Corresponding author
1 IRCAD/EITS - Institut de Recherche Contre les Cancers de l'Appareil Digestif-European Institute of Telesurgery
2 EPIDAURE - Medical imaging and robotics
CRISAM - Inria Sophia Antipolis - Méditerranée
3 CREATIS - Centre de Recherche et d'Application en Traitement de l'Image et du Signal
Résumé : no abstract
Keywords : conference reconstruction
Document type :
Conference papers
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https://hal.inria.fr/inria-00615852
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Submitted on : Friday, August 19, 2011 - 6:07:43 PM
Last modification on : Saturday, June 25, 2022 - 10:06:27 AM

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  • HAL Id : inria-00615852, version 1

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CNRS | INRIA | UNIV-LYON1 | INSA-LYON | CREATIS | INRIA2 | TDS-MACS | SITE-ALSACE | INSA-GROUPE | UDL

Citation

Luc Soler, Hervé Delingette, Grégoire Malandain, Johan Montagnat, Nicholas Ayache, et al.. A Fully Automatic Anatomical, Pathological and Fonctionnal Segmentation from CT-scans for Hepatic Surgery. Medical Imaging 2000, SPIE, 2000, San Diego, United States. pp.246--255. ⟨inria-00615852⟩

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