Shape-intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images.
- DOI
- 10.1007/s11548-015-1332-9
- Published
- 2015-12-08
- Container
- Int J Comput Assist Radiol Surg
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1007/s11548-015-1332-9,
title = {Shape-intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images.},
author = {Wang J and Cheng Y and Guo C and Wang Y and Tamura S.},
year = {2016},
journal = {Int J Comput Assist Radiol Surg},
doi = {10.1007/s11548-015-1332-9},
url = {https://doi.org/10.1007/s11548-015-1332-9}
}RIS
TY - JOUR TI - Shape-intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images. AU - Wang J AU - Cheng Y AU - Guo C AU - Wang Y AU - Tamura S. PY - 2016 JO - Int J Comput Assist Radiol Surg DO - 10.1007/s11548-015-1332-9 UR - https://doi.org/10.1007/s11548-015-1332-9 ER -
APA
J, W., Y, C., C, G., Y, W., & S., T. (2016). Shape-intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images.. Int J Comput Assist Radiol Surg. https://doi.org/10.1007/s11548-015-1332-9
Source records
- europe-pmc · retrieved 2026-11-10T10:01:09.349Z