Despite technological advancements, several challenges persist in tissue segmentation for cancer. One major challenge is the intratumoral heterogeneity, where tumors exhibit diverse cellular compositions. This heterogeneity complicates the segmentation process, as different regions of the same tumor may have varying characteristics. Additionally, image quality and resolution can affect the accuracy of segmentation algorithms, necessitating robust preprocessing techniques to enhance image clarity.
