Automated Quantitative Analysis of Ki-67 Staining and HE Images Recognition and Registration Based on Whole Tissue Sections in Breast Carcinoma

Lab.Equipment ensures that you get your day to day Diagnostic Pathology news fix anytime you want it. Check out today’s article first appearing on Diagnostic Pathology:

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, which may limit its clinical value. Although more and more algorithms and individual platforms have been developed for the assessment of Ki-67 stained images to improve its accuracy level, most of them lack of accurate registration of immunohistochemical (IHC) images and their matched hematoxylin-eosin (HE) images, or did not accurately labelled each positive and negative cell with Ki-67 staining based on whole tissue sections (WTS). In view of this, we introduce an accurate image registration method and an automatic identification and counting software of Ki-67 based on WTS by deep learning... Read the entire article at the Diagnostic Pathology Blog.

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