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Open Access
Peer-reviewed
Research Article
Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk
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Suzanne C. Wetstein ,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: s.c.wetstein@tue.nl
Affiliation Medical Image Analysis Group, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
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Allison M. Onken,
Roles Data curation, Writing – original draft, Writing – review & editing
Affiliation Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
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Christina Luffman,
Roles Data curation, Writing – original draft, Writing – review & editing
Affiliation Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
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Gabrielle M. Baker,
Roles Conceptualization, Data curation, Writing – original draft, Writing – review & editing
Affiliation Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
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Michael E. Pyle,
Roles Data curation, Writing – original draft, Writing – review & editing
Affiliation Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
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Kevin H. Kensler,
Roles Data curation, Writing – original draft, Writing – review & editing
Affiliation Division of Population Sciences, Dana Farber Cancer Institute, Boston, Massachusetts, United States of America
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Ying Liu,
Roles Data curation, Writing – original draft, Writing – review & editing
Affiliation Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine and Alvin J. Siteman Cancer Center, St Louis, Missouri, United States of America
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Bart Bakker,
Roles Methodology, Resources, Writing – original draft, Writing – review & editing
Affiliation Philips Research Europe, High Tech Campus, Eindhoven, The Netherlands
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Ruud Vlutters,
Roles Methodology, Resources, Writing – original draft, Writing – review & editing
Affiliation Philips Research Europe, High Tech Campus, Eindhoven, The Netherlands
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Marinus B. van Leeuwen,
Roles Methodology, Resources, Writing – original draft, Writing – review & editing
Affiliation Philips Research Europe, High Tech Campus, Eindhoven, The Netherlands
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Laura C. Collins,
Roles Conceptualization, Data curation, Writing – original draft, Writing – review & editing
Affiliation Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
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Stuart J. Schnitt,
Roles Conceptualization, Writing – original draft, Writing – review & editing
Affiliation Dana-Farber/Brigham and Women’s Cancer Center, Harvard Medical School, Dana-Farber Cancer Institute-Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
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Josien P. W. Pluim,
Roles Funding acquisition, Methodology, Supervision, Writing – original draft, Writing – review & editing
Affiliation Medical Image Analysis Group, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
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Rulla M. Tamimi,
Roles Conceptualization, Data curation, Funding acquisition, Project administration, Writing – original draft, Writing – review & editing
Affiliation Channing Division of Network Medicine, Department of Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
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Yujing J. Heng ,
Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing
¶‡ These authors are co-senior authors on this work.
Affiliation Department of Pathology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
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Mitko Veta
Roles Conceptualization, Funding acquisition, Methodology, Supervision, Writing – original draft, Writing – review & editing
¶‡ These authors are co-senior authors on this work.
Affiliation Medical Image Analysis Group, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
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Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk
- Suzanne C. Wetstein,
- Allison M. Onken,
- Christina Luffman,
- Gabrielle M. Baker,
- Michael E. Pyle,
- Kevin H. Kensler,
- Ying Liu,
- Bart Bakker,
- Ruud Vlutters,
- Marinus B. van Leeuwen
- Published: April 15, 2020
- https://doi.org/10.1371/journal.pone.0231653