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Journal article

The significance of tumour microarchitectural features in breast cancer prognosis: a digital image analysis

Abstract:

Background

As only a minor portion of the information present in histological sections is accessible by eye, recognition and quantification of complex patterns and relationships among constituents relies on digital image analysis. In this study, our working hypothesis was that, with the application of digital image analysis technology, visually unquantifiable breast cancer microarchitectural features can be rigorously assessed and tested as prognostic parameters for invasive brea...

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Publication status:
Published
Peer review status:
Peer reviewed

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Authors


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Institution:
University of Oxford
Division:
Medical Sciences Division
Role:
Author
ORCID:
0000-0002-0450-2206
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
RDM; RDM Clinical Laboratory Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Sub department:
Clinical Trial Service Unit
Role:
Author
ORCID:
0000-0002-3981-3418
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Role:
Author
ORCID:
0000-0002-0488-5913
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Role:
Author
ORCID:
0000-0002-5009-5525
More from this funder
Name:
Cancer Research UK
Grant:
C5255/A18085
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Name:
Medical Research Council
Grant:
MC_UP_A390_1107
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Name:
National Institute for Health Research
Publisher:
BioMed Central
Journal:
Breast Cancer Research More from this journal
Volume:
20
Issue:
1
Pages:
11
Publication date:
2018-02-05
Acceptance date:
2018-01-10
DOI:
EISSN:
1465-542X
ISSN:
1465-5411
Pmid:
29402299
Language:
English
Keywords:
Pubs id:
pubs:823031
UUID:
uuid:f5b0cac2-03af-4e8c-8552-c47433cc0140
Local pid:
pubs:823031
Source identifiers:
823031
Deposit date:
2018-07-18

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