A new segmentation method for MRI images of the shoulder joint

Montreal, Quebec, Canada May 28-May 30

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http://doi.ieeecomputersociety.org/10.1109/CRV.2007.4

Fourth Canadian Conference on Compute ...

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	ASCII Text	x
	Nhat Tan Nguyen, Denis Laurendeau, Alexandra Branzan-Albu, "A new segmentation method for MRI images of the shoulder joint," Computer and Robot Vision, Canadian Conference, pp. 329-338, Fourth Canadian Conference on Computer and Robot Vision (CRV '07), 2007.

	BibTex	x
	@article{ 10.1109/CRV.2007.4, author = {Nhat Tan Nguyen and Denis Laurendeau and Alexandra Branzan-Albu}, title = {A new segmentation method for MRI images of the shoulder joint}, journal ={Computer and Robot Vision, Canadian Conference}, volume = {0}, year = {2007}, isbn = {0-7695-2786-8}, pages = {329-338}, doi = {http://doi.ieeecomputersociety.org/10.1109/CRV.2007.4}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer and Robot Vision, Canadian Conference TI - A new segmentation method for MRI images of the shoulder joint SN - 0-7695-2786-8 SP329 EP338 A1 - Nhat Tan Nguyen, A1 - Denis Laurendeau, A1 - Alexandra Branzan-Albu, PY - 2007 KW - null VL - 0 JA - Computer and Robot Vision, Canadian Conference ER -

Nhat Tan Nguyen, Laval University

Denis Laurendeau, Laval University

Alexandra Branzan-Albu, University of Victoria

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.

Citation:

Nhat Tan Nguyen, Denis Laurendeau, Alexandra Branzan-Albu, "A new segmentation method for MRI images of the shoulder joint," crv, pp.329-338, Fourth Canadian Conference on Computer and Robot Vision (CRV '07), 2007

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