SOURCE-LINKED INTELLIGENCE

Multi-Stage Prompt-Guided Feature Modulation for Generalizable Brain Tumor Segmentation

arXiv · AI, language, vision and robotics · article · Aug 24, 2026 · UTC

Accurate brain tumor segmentation from magnetic resonance imaging (MRI) is essential for diagnosis, treatment planning, surgical guidance, and disease monitoring. However, developing automated segmentation models that generalize across diverse tumor characteristics, imaging protocols, acquisition sites, and patient populations remains challenging. Variations in tumor morphology and imaging distributions can substantially degrade performance outside the training domain. Consequently, improving the robustness and generalization of deep learning-based segmentation models has become a key objectiv

Read original source ↗ Open in workspace

recordType

paper

region

Global