Tissue segmentation refers to the process of partitioning a histological image into distinct regions or components that correspond to different tissue types or structures. This process is crucial for the analysis and interpretation of histological samples, as it allows researchers and pathologists to focus on specific areas of interest within a tissue section. Tissue segmentation can be performed manually, but advances in machine learning and image processing technologies have enabled automated and semi-automated approaches.
