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

• Asıl Yazarlar: Munish Puri (Yazar), Shelley B Hoover (Yazar), Stephen M Hewitt (Yazar), Bih-Rong Wei (Yazar), Hibret Amare Adissu (Yazar), Charles H C Halsey (Yazar), Jessica Beck (Yazar), Charles Bradley (Yazar), Sarah D Cramer (Yazar), Amy C Durham (Yazar), D Glen Esplin (Yazar), Chad Frank (Yazar), L Tiffany Lyle (Yazar), Lawrence D McGill (Yazar), Melissa D Sánchez (Yazar), Paula A Schaffer (Yazar), Ryan P Traslavina (Yazar), Elizabeth Buza (Yazar), Howard H Yang (Yazar), Maxwell P Lee (Yazar), Jennifer E Dwyer (Yazar), R Mark Simpson (Yazar)
• Materyal Türü: Kitap
• Baskı/Yayın Bilgisi: Elsevier, 2019-01-01T00:00:00Z.
• Konular: article
• Online Erişim: 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...