Automated computational detection, quantitation, and mapping of mitosis in whole-slide images for clinically actionable surgical pathology decision support

Munish Puri¹, Shelley B Hoover¹, Stephen M Hewitt², Bih-Rong Wei³, Hibret Amare Adissu¹, Charles H C Halsey¹, Jessica Beck⁴, Charles Bradley⁵, Sarah D Cramer⁶, Amy C Durham⁵, D Glen Esplin⁷, Chad Frank⁸, L Tiffany Lyle⁹, Lawrence D McGill⁷, Melissa D Sánchez⁵, Paula A Schaffer⁸, Ryan P Traslavina¹⁰, Elizabeth Buza⁵, Howard H Yang¹, Maxwell P Lee¹, Jennifer E Dwyer¹, R Mark Simpson^1
1 Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
² Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
³ Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute; Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., MD, USA
⁴ Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
⁵ Department of Pathobiology, University of Pennsylvania, Philadelphia, PA, USA
⁶ Cancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
⁷ Animal Reference Pathology, Salt Lake City, UT, USA
⁸ Department of Microbiology, Immunology, and Pathology, Veterinary Diagnostic Laboratory, Colorado State University, Fort Collins, CO, USA
⁹ Women's Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
¹⁰ Section of Infections of the Nervous System, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA

Correspondence Address:
Dr. R Mark Simpson
Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, 9000 Rockville Pike, Bethesda, MD 20892
USA

Source of Support: None, Conflict of Interest: None

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DOI: 10.4103/jpi.jpi_59_18