Paper Info
Title
A new segmentation method for MRI images of the shoulder joint
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.
Year
DOI
Venue
2007
10.1109/CRV.2007.4
CRV
Keywords
Field
DocType
new segmentation method,patient mri image segmentation,orthopaedics,early vision,user interfaces,image segmentation,simple user interaction,patient magnetic resonance image,biomedical mri,user interaction,iteration method,gradient methods,computer vision,region-based supervised method,routine clinical use,gradient-based supervised method,orthopedic surgery,shoulder joint,surgery,mri image,magnetic resonance image,magnetic resonance imaging,computed tomography,shape
Computer vision,Shoulder joint,Pattern recognition,Iterative method,Segmentation,Computer science,Early vision,Image segmentation,Artificial intelligence,Orthopedic surgery,User interface,Magnetic resonance imaging
Conference
ISBN
Citations 
PageRank 
0-7695-2786-8
7
0.52
References 
Authors
7
3
Name
Order
Citations
PageRank
Nhat-Tan Nguyen1111.35
Denis Laurendeau2803169.72
Alexandra Branzan-Albu3111.35