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Réalité virtuelle et simulation

Thermographie et vision infrarouge

Traitement de sequences video

Vision biologique

Vision cognitive

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COBVIS-D Auto21

SKALPEL-ICT

COGNOIS

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VRES

Chercheurs

Christian Gagné

Xavier Maldague

Denis Poussart

Simon Gagné

Marc Parizeau

Robert Bergevin

André Zaccarin

Jean-François Lalonde

Abdel Hakim Bendada

Dates

Trier par date dans l'ordre decroissant

A new segmentation method for MRI images of the shoulder joint

Nhat-Tan Nguyen, Denis Laurendeau and Alexandra Branzan-Albu

Abstract - This paper presents an integrated region-based and gradient-based supervised method for segmentation of a patient magnetic resonance images (MRI) of the shoulder joint. The method is noninvasive, anatomy-based and requires only simple user interaction. It is generic and easily customizable for a variety of routine clinical uses in orthopedic surgery

Bibtex:

@inproceedings{Nguyen677,
author    = { Nhat-Tan Nguyen and Denis Laurendeau and Alexandra Branzan-Albu },
title     = { A new segmentation method for MRI images of the shoulder joint },
booktitle = { 4th Canadian Conference on Computer and Robot Vision (CRV) },
year      = { 2007 },
month     = { May },
location  = { Montreal },
language  = { English }
}

Dernière modification: 2007/06/05 par ntnguyen

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