Traditionally, tissue segmentation was performed manually by pathologists, which is time-consuming and prone to variability. However, advancements in artificial intelligence and machine learning have led to the development of automated segmentation techniques. These techniques utilize algorithms to distinguish between different tissue types based on features such as texture, intensity, and shape.
