What are the Challenges in Brain Tumor Segmentation?
Despite advances, several challenges remain in brain tumor segmentation: - Heterogeneity: Tumors can have varying shapes, sizes, and textures, making segmentation difficult. - Artifacts: Imaging artifacts, such as noise or motion, can obscure tumor boundaries. - Class Imbalance: In datasets, the number of tumor pixels is often much smaller than non-tumor pixels, making training difficult for machine learning models.
