Data segmentation in histology refers to the process of partitioning digital histological images into meaningful regions. This is crucial for identifying and analyzing various tissue structures, cells, and pathological features. The process involves separating different components of a tissue section, such as nuclei, cytoplasm, and extracellular matrix, to facilitate detailed examination and diagnosis.
