Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation

Our proposed method shows promise as a tool for studying the tumour vasculature and its relationship with surrounding cells and tissue types. Furthermore, the correlation with tumour grade highlights the clinical relevance of our approach. These findings suggest that our method could have substantial implications for improving prognostic assessments and personalizing therapeutic strategies in breast cancer treatment.

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Publication Details

Journal
Breast Cancer Research
Published
2025-02-04
DOI
https://doi.org/10.1186/s13058-024-01950-2
Citations
5
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
12.40

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article

Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation

Tristan Whitmarsh, Roido Manavaki, Julia Carmona-Bozo, Emma Brown et al.
5 citations
Breast Cancer Research
AI in cancer detection
12.40
article

Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation

Tristan Whitmarsh, Roido Manavaki, Julia Carmona-Bozo, Emma Brown, Stephen‐John Sammut, Ferdia A. Gallagher, Fiona J. Gilbert, Sarah E. Bohndiek, Elena Provenzano, Ramona Woitek, Florian Markowetz, Carlos Caldas, Wei Cope
article en
5 citations

Abstract

Our proposed method shows promise as a tool for studying the tumour vasculature and its relationship with surrounding cells and tissue types. Furthermore, the correlation with tumour grade highlights the clinical relevance of our approach. These findings suggest that our method could have substantial implications for improving prognostic assessments and personalizing therapeutic strategies in breast cancer treatment.

Breast Cancer ResearchVol. 27(1)
Danube Private University (AT), Institute of Cancer Research (GB), University of Cambridge (GB), Breast Cancer Now (GB), Cancer Research UK (GB), Cambridge University Hospitals NHS Foundation Trust (GB), Cancer Research UK Cambridge Center (GB), Royal Marsden Hospital (GB), Institute of Astronomy (RU), Cancer Research UK Scotland Institute (GB), University of San Francisco (US), University of Glasgow (GB)
Cancer Research UK
Good health and well-being
Openalex Percentile: Top 2%
AI in cancer detection
12.40
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