Journal article
Segmentation of vasculature from fluorescently labeled endothelial cells in multi-photon microscopy images
- Abstract:
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Vasculature is known to be of key biological significance, especially in the study of tumors. As such, considerable effort has been focused on the automated segmentation of vasculature in medical and pre-clinical images. The majority of vascular segmentation methods focus on bloodpool labeling methods, however, particularly in the study of tumors it is of particular interest to be able to visualize both perfused and non-perfused vasculature. Imaging vasculature by highlighting the endothelium...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 3.3MB)
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- Publisher copy:
- 10.1109/TMI.2017.2725639
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Authors
Funding
+ Engineering and Physical Sciences Research Council
More from this funder
Funding agency for:
Bates, R
Grant:
Systems Biology
Doctoral Training Centre, Oxford (EP/G03706X/1
+ European Commission
More from this funder
Grant:
People Programme (Marie Curie Actions) of the
European Unions Seventh Framework Programme (FP7/2007-
2013) under REA grant agreement No 625631
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Journal:
- IEEE Transactions on Medical Imaging Journal website
- Volume:
- 38
- Issue:
- 1
- Pages:
- 1-10
- Publication date:
- 2017-08-09
- Acceptance date:
- 2018-07-03
- DOI:
- EISSN:
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1558-254X
- ISSN:
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0278-0062
- Source identifiers:
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702935
Item Description
- Pubs id:
-
pubs:702935
- UUID:
-
uuid:1ed3c7fa-d077-4c1b-badc-2263326acbd4
- Local pid:
- pubs:702935
- Deposit date:
- 2017-07-04
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2017
- Notes:
- Copyright © 2017 IEEE. This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/.
- Licence:
- CC Attribution (CC BY)
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