Deep Learning-Based H-Score Quantification of Immunohistochemistry-Stained Images.

ABSTRACT: Immunohistochemistry (IHC) is a well-established and commonly used staining method for clinical diagnosis and biomedical research. In most IHC images, the target protein is conjugated with a specific antibody and stained using diaminobenzidine (DAB), resulting in a brown coloration, whereas hematoxylin serves as a blue counterstain for cell nuclei. The protein expression level is quantified through the H-score, calculated from DAB staining intensity within the target cell region. Traditionally, this process requires evaluation by 2 expert pathologists, which is both time consuming and subjective. To enhance the efficiency and accuracy of this process, we have developed an automatic algorithm for quantifying the H-score of IHC images. To characterize protein expression in specific cell regi

SUBMITTER: Wen Z 

PROVIDER: S-EPMC11141889 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature