H&E Image Analysis

Problem: A variety of deep learning methods have been applied to H&E whole slide images for quality control, anomaly detection, stain normalization, nuclei detection and segmentation, and tissue segmentation. But which approaches are worth trying?

Solution: This project involved researching a variety of image analysis tasks for H&E whole slide images to identify those that are most successful but also easy to implement or have open source code available. These approaches were used to rapidly advance multiple projects.