- Abstract:
-
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...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
-
(pdf, 3.3mb)
-
- Publisher copy:
- 10.1109/TMI.2017.2725639
-
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Some thesis volumes scanned as part of the digitisation scheme funded by Dr Leonard Polonsky are currently unavailable due to sensitive material or uncleared third-party copyright content. We are attempting to contact authors whose theses are affected.
- Funding agency for:
- Bates, R
- Grant:
- People Programme (Marie Curie Actions) of the European Unions Seventh Framework Programme (FP7/2007- 2013) under REA grant agreement No 625631
- 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:
-
1558-254X
- ISSN:
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0278-0062
- Pubs id:
-
pubs:702935
- URN:
-
uri:1ed3c7fa-d077-4c1b-badc-2263326acbd4
- UUID:
-
uuid:1ed3c7fa-d077-4c1b-badc-2263326acbd4
- Local pid:
- pubs:702935
- 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/.
Journal article
Segmentation of vasculature from fluorescently labeled endothelial cells in multi-photon microscopy images
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