Detection of malignancy in whole slide images of endometrial cancer biopsies using artificial intelligence

Christina Fell; Mahnaz Mohammadi; David Morrison; Ognjen Arandjelović; Sheeba Syed; Prakash Konanahalli; Sarah Bell; Gareth Bryson; David J. Harrison; David Harris-Birtill

doi:10.1371/journal.pone.0282577

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Open Access

Peer-reviewed

Research Article

Detection of malignancy in whole slide images of endometrial cancer biopsies using artificial intelligence

Christina Fell ,

Roles Formal analysis, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing

* E-mail: cmf21@st-andrews.ac.uk

Affiliation School of Computer Science, University of St Andrews, St Andrews, Scotland, United Kingdom

https://orcid.org/0000-0003-0590-4132

⨯
Mahnaz Mohammadi,

Roles Data curation, Software, Writing – review & editing

Affiliation School of Computer Science, University of St Andrews, St Andrews, Scotland, United Kingdom

https://orcid.org/0000-0002-3109-4324

⨯
David Morrison,

Roles Software

Affiliation School of Computer Science, University of St Andrews, St Andrews, Scotland, United Kingdom

https://orcid.org/0000-0001-5502-9773

⨯
Ognjen Arandjelović,

Roles Writing – review & editing

Affiliation School of Computer Science, University of St Andrews, St Andrews, Scotland, United Kingdom
⨯
Sheeba Syed,

Roles Data curation

Affiliation Pathology Department, NHS Greater Glasgow and Clyde, Glasgow, Scotland, United Kingdom
⨯
Prakash Konanahalli,

Roles Data curation

Affiliation Pathology Department, NHS Greater Glasgow and Clyde, Glasgow, Scotland, United Kingdom
⨯
Sarah Bell,

Roles Data curation, Project administration, Writing – review & editing

Affiliation Pathology Department, NHS Greater Glasgow and Clyde, Glasgow, Scotland, United Kingdom
⨯
Gareth Bryson,

Roles Conceptualization, Data curation, Resources

Affiliation Pathology Department, NHS Greater Glasgow and Clyde, Glasgow, Scotland, United Kingdom
⨯
David J. Harrison,

Roles Funding acquisition, Writing – review & editing

Affiliations School of Medicine, University of St Andrews, St Andrews, Scotland, United Kingdom, NHS Lothian Pathology, Division of Laboratory Medicine, Royal Infirmary of Edinburgh, Edinburgh, Scotland, United Kingdom

https://orcid.org/0000-0001-9041-9988

⨯
David Harris-Birtill

Roles Project administration, Supervision, Writing – review & editing

Affiliation School of Computer Science, University of St Andrews, St Andrews, Scotland, United Kingdom
⨯

Detection of malignancy in whole slide images of endometrial cancer biopsies using artificial intelligence

Christina Fell,
Mahnaz Mohammadi,
David Morrison,
Ognjen Arandjelović,
Sheeba Syed,
Prakash Konanahalli,
Sarah Bell,
Gareth Bryson,
David J. Harrison,
David Harris-Birtill

Published: March 8, 2023
https://doi.org/10.1371/journal.pone.0282577

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Uterine cancer
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Blood
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Mucus
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Pathologists
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Biopsy
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Artificial intelligence
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Breast cancer
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Malignant tumors
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