To streamline and enhance the accuracy of HER2 assessment, the research team at UCLA has developed an automated scoring system leveraging deep learning and pyramid sampling.

Here, Researchers at UCLA introduce a deep learning-based approach utilizing pyramid sampling for the automated classification of HER2 status in immunohistochemically (IHC) stained BC tissue images.