Enhancements in localized classification for uterine cervical cancer digital histology image assessment

• Main Authors: Peng Guo (Author), Haidar Almubarak (Author), Koyel Banerjee (Author), R Joe Stanley (Author), Rodney Long (Author), Sameer Antani (Author), George Thoma (Author), Rosemary Zuna (Author), Shelliane R Frazier (Author), Randy H Moss (Author), William V Stoecker (Author)
• Format: Book
• Published: Elsevier, 2016-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background: In previous research, we introduced an automated, localized, fusion-based approach for classifying uterine cervix squamous epithelium into Normal, CIN1, CIN2, and CIN3 grades of cervical intraepithelial neoplasia (CIN) based on digitized histology image analysis. As part of the CIN asses...