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» using Prior Shape and Points in Medical Image Segmentation
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MICCAI
2003
Springer
14 years 11 months ago
Robust Estimation for Brain Tumor Segmentation
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
Marcel Prastawa, Elizabeth Bullitt, Sean Ho, Guido...
CVBIA
2005
Springer
14 years 4 months ago
Segmentation of 3D CT Volume Images Using a Single 2D Atlas
Segmentation of medical images is an important first step in the analysis of medical images. A lot of research has been performed on the segmentation of complex CT/MR images using...
Feng Ding, Wee Kheng Leow, Shih-Chang Wang
CVRMED
1995
Springer
14 years 2 months ago
Medical Image Segmentation Using Topologically Adaptable Snakes
This paper presents a technique for the segmentation of anatomic structures in medical images using a topologically adaptable snakes model. The model is set in the framework of dom...
Tim McInerney, Demetri Terzopoulos
MICCAI
2007
Springer
14 years 12 months ago
Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...
Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz...
ISBI
2008
IEEE
14 years 11 months ago
Segmentation of fetal 3D ultrasound based on statistical prior and deformable model
A statistical variational framework is proposed for the fetus and uterus segmentation in ultrasound images. The Rayleigh and exponential distributions are used to model the pixel ...
Jérémie Anquez, Elsa D. Angelini, Is...