4D segmentation refers to the process of dividing a 4-dimensional dataset into meaningful segments. In the context of cancer, this involves analyzing data that includes three spatial dimensions and time. This technique allows for the examination of how tumors and other structures change over time, which is crucial for understanding the dynamics of cancer progression and treatment response.
