Finding Dense Supervoxel Correspondence of Cone-Beam Computed Tomography Images.
https://doi.org/10.1007/978-3-319-67389-9_14
@inproceedings{DBLP:conf/miccai/PeiYMGCXZ17a,
author = {Yuru Pei and
Yunai Yi and
Gengyu Ma and
Yuke Guo and
Gui Chen and
Tianmin Xu and
Hongbin Zha},
editor = {Qian Wang and
Yinghuan Shi and
Heung{-}Il Suk and
Kenji Suzuki},
title = {Finding Dense Supervoxel Correspondence of Cone-Beam Computed Tomography
Images},
booktitle = {Machine Learning in Medical Imaging - 8th International Workshop,
{MLMI} 2017, Held in Conjunction with {MICCAI} 2017, Quebec City,
QC, Canada, September 10, 2017, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {10541},
pages = {114--122},
publisher = {Springer},
year = {2017},
url = {https://doi.org/10.1007/978-3-319-67389-9\_14},
doi = {10.1007/978-3-319-67389-9\_14},
timestamp = {Tue, 14 May 2019 10:00:50 +0200},
biburl = {https://dblp.org/rec/conf/miccai/PeiYMGCXZ17a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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