Automated quantitative analysis of Ki-67 staining and HE images recognition and registration based on whole tissue sections in breast carcinoma

• Main Authors: Min Feng (Author), Yang Deng (Author), Libo Yang (Author), Qiuyang Jing (Author), Zhang Zhang (Author), Lian Xu (Author), Xiaoxia Wei (Author), Yanyan Zhou (Author), Diwei Wu (Author), Fei Xiang (Author), Yizhe Wang (Author), Ji Bao (Author), Hong Bu (Author)
• Format: Book
• Published: BMC, 2020-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background The scoring of Ki-67 is highly relevant for the diagnosis, classification, prognosis, and treatment in breast invasive ductal carcinoma (IDC). Traditional scoring method of Ki-67 staining followed by manual counting, is time-consumption and inter−/intra observer variability, whic...