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

• मुख्य लेखकों: Munish Puri (लेखक), Shelley B Hoover (लेखक), Stephen M Hewitt (लेखक), Bih-Rong Wei (लेखक), Hibret Amare Adissu (लेखक), Charles H C Halsey (लेखक), Jessica Beck (लेखक), Charles Bradley (लेखक), Sarah D Cramer (लेखक), Amy C Durham (लेखक), D Glen Esplin (लेखक), Chad Frank (लेखक), L Tiffany Lyle (लेखक), Lawrence D McGill (लेखक), Melissa D Sánchez (लेखक), Paula A Schaffer (लेखक), Ryan P Traslavina (लेखक), Elizabeth Buza (लेखक), Howard H Yang (लेखक), Maxwell P Lee (लेखक), Jennifer E Dwyer (लेखक), R Mark Simpson (लेखक)
• स्वरूप: पुस्तक
• प्रकाशित: Elsevier, 2019-01-01T00:00:00Z.
• विषय: article
• ऑनलाइन पहुंच: 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...