Segmentation of brain tumors using a morphological Laplacian-enhanced active contour model on MRI
A two-stage hybrid framework that integrates a convolutional U-Net for coarse tumor localization with a morphological Laplacian-enhanced active contour model for precise boundary refinement and outperforms both classical active contour models and contemporary deep learning architectures in whole-tumor segmentation from...