Whole Slide Imaging

Whole slide imaging (WSI) digitizes entire microscope slides, enabling computational analysis of gigapixel-scale histopathology images. Current research focuses on developing deep learning models, including convolutional neural networks and transformers, to automate tasks such as tissue segmentation, cell detection, and disease classification within WSIs. These advancements aim to improve diagnostic accuracy, efficiency, and consistency in pathology, ultimately impacting patient care and accelerating biomedical research. Efforts are also underway to address challenges like artifact mitigation and efficient data management for improved WSI analysis.