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Journal article

Segmentation of vasculature from fluorescently labeled endothelial cells in multi-photon microscopy images

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...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1109/TMI.2017.2725639

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Department:
Oxford, MPLS, Engineering Science
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Department:
Oxford, MPLS, Engineering Science
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Department:
Oxford, MSD, Oncology, CRUK/MRC Ox Inst for Radiation Oncology
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Department:
Oxford, MSD, Oncology, CRUK/MRC Ox Inst for Radiation Oncology
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Department:
Oxford, MSD, Oncology, CRUK/MRC Ox Inst for Radiation Oncology
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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:
0278-0062
Pubs id:
pubs:702935
URN:
uri:1ed3c7fa-d077-4c1b-badc-2263326acbd4
UUID:
uuid:1ed3c7fa-d077-4c1b-badc-2263326acbd4
Local pid:
pubs:702935

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