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Efficient kernel density estimation of shape and intensity priors for level set segmentation (bibtex)
by M. Rousson and D. Cremers
Reference:
Efficient kernel density estimation of shape and intensity priors for level set segmentation (M. Rousson and D. Cremers), In Medical Image Computing and Computer Assisted Intervention (MICCAI), volume 1, 2005.
Bibtex Entry:
@string{miccai="Medical Image Computing and Computer Assisted Intervention (MICCAI)"}
@inproceedings{Rousson-Cremers-05,
author = {M. Rousson and D. Cremers},
title = {Efficient kernel density estimation of shape and intensity priors
for level set segmentation},
booktitle = {Medical Image Computing and Computer Assisted Intervention (MICCAI)},
year = {2005},
volume = {1},
pages = {757--764},
keywords = {image-segmentation,shape,Parzen,parametric,2d cardiac ultrasound,3d ct prostate, medical imaging},
titleurl = {rousson_cremers05.pdf},
topic = {Shape, Segmentation, Statistics, Level Sets},
}
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