SDSL and neoplasm: Notably, the analysis reveals a growing preference for combining region-aware and boundary-aware loss functions—such as the proposed SDHL + BCE hybrid—to balance global segmentation accuracy and precise boundary localization, ultimately leading to more robust and clinically useful tumor segmentation models.