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Comparison of a machine and deep learning model for automated tumor annotation on digitized whole slide prostate cancer histology
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Savannah R. Duenweg,
Roles Conceptualization, Formal analysis, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliation Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America
⨯ - Michael Brehler,
- Samuel A. Bobholz,
- Allison K. Lowman,
- Aleksandra Winiarz,
- Fitzgerald Kyereme,
- Andrew Nencka,
- Kenneth A. Iczkowski,
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Peter S. LaViolette
Roles Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing
* E-mail: plaviole@mcw.edu
Affiliations Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America, Department of Biomedical Engineering, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America
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https://orcid.org/0000-0003-4010-7737
Comparison of a machine and deep learning model for automated tumor annotation on digitized whole slide prostate cancer histology
- Savannah R. Duenweg,
- Michael Brehler,
- Samuel A. Bobholz,
- Allison K. Lowman,
- Aleksandra Winiarz,
- Fitzgerald Kyereme,
- Andrew Nencka,
- Kenneth A. Iczkowski,
- Peter S. LaViolette
- Published: March 16, 2023
- https://doi.org/10.1371/journal.pone.0278084