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» Active Volume Models for Medical Image Segmentation
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IPMI
2009
Springer
16 years 21 days ago
Estimating Uncertainty in Brain Region Delineations
This paper presents a method for estimating uncertainty in MRI-based brain region delineations provided by fully-automated segmentation methods. In large data sets, the uncertainty...
Karl R. Beutner, Gautam Prasad, Evan Fletcher, Cha...
MICCAI
2008
Springer
16 years 1 months ago
Wall Motion Classification of Stress Echocardiography Based on Combined Rest-and-Stress Data
In this paper, we present a new framework that performs automated local wall motion analysis based on the combined information derived from a rest and stress sequence (a full stres...
Sarina Mansor, Nicholas P. Hughes, J. Alison Nob...
JMM2
2007
221views more  JMM2 2007»
14 years 11 months ago
Automatic Extraction of Femur Contours from Calibrated X-Ray Images using Statistical Information
— Automatic identification and extraction of bone contours from x-ray images is an essential first step task for further medical image analysis. In this paper we propose a 3D s...
Xiao Dong, Miguel Ángel González Bal...
EVOW
2006
Springer
15 years 3 months ago
Artificial Life Models in Lung CTs
A new method for the analysis of 3D medical images is introduced. The algorithm is based on Biological Models of ants known as Artificial Life models. Test images (lung Computed To...
Sorin Cristian Cheran, Gianfranco Gargano
CVBIA
2005
Springer
15 years 5 months ago
Analyzing Anatomical Structures: Leveraging Multiple Sources of Knowledge
Analysis of medical images, especially the extraction of anatomical structures, is a critical component of many medical applications: surgical planning and navigation, and populati...
W. Eric L. Grimson, Polina Golland