Automatic Detection and Segmentation of Evolving Processes in 3D Medical Images: Application to Multiple Sclerosis

David Rey; Gérard Subsol; Hervé Delingette; Nicholas Ayache

Automatic Detection and Segmentation of Evolving Processes in 3D Medical Images: Application to Multiple Sclerosis

David Rey ^{1, *} Gérard Subsol ¹ Hervé Delingette ^{1, *} Nicholas Ayache ^{1, *}

* Corresponding author

1 EPIDAURE - Medical imaging and robotics

CRISAM - Inria Sophia Antipolis - Méditerranée

Résumé : no abstract

keyword : conference reconstruction multiple sclerosis

Document type :

Conference papers

Domain :

Computer Science [cs] / Medical Imaging

Computer Science [cs] / Modeling and Simulation

Life Sciences [q-bio] / Bioengineering / Imaging

Engineering Sciences [physics] / Signal and Image processing

Computer Science [cs] / Signal and Image Processing

Liste complète des métadonnées

https://hal.inria.fr/inria-00615685
Contributor : Project-Team Asclepios <>
Submitted on : Friday, August 19, 2011 - 6:06:43 PM
Last modification on : Saturday, January 27, 2018 - 1:31:47 AM

Automatic Detection and Segmentation of Evolving Processes in 3D Medical Images: Application to Multiple Sclerosis

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Automatic Detection and Segmentation of Evolving Processes in 3D Medical Images: Application to Multiple Sclerosis

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