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

• Ngā kaituhi matua: Munish Puri (Author), Shelley B Hoover (Author), Stephen M Hewitt (Author), Bih-Rong Wei (Author), Hibret Amare Adissu (Author), Charles H C Halsey (Author), Jessica Beck (Author), Charles Bradley (Author), Sarah D Cramer (Author), Amy C Durham (Author), D Glen Esplin (Author), Chad Frank (Author), L Tiffany Lyle (Author), Lawrence D McGill (Author), Melissa D Sánchez (Author), Paula A Schaffer (Author), Ryan P Traslavina (Author), Elizabeth Buza (Author), Howard H Yang (Author), Maxwell P Lee (Author), Jennifer E Dwyer (Author), R Mark Simpson (Author)
• Hōputu: Pukapuka
• I whakaputaina: Elsevier, 2019-01-01T00:00:00Z.
• Ngā marau: article
• Urunga tuihono: Connect to this object online.

Background: Determining mitotic index by counting mitotic figures (MFs) microscopically from tumor areas with most abundant MF (hotspots [HS]) produces a prognostically useful tumor grading biomarker. However, interobserver concordance identifying MF and HS can be poorly reproducible. Immunolabeling...