Blinded Multi-Rater Evaluation of Automated Brain Metastasis Segmentation Using a Hybrid Foundation-Model Framework
Accurate segmentation of brain metastases (BM) is essential for stereotactic radiosurgery planning and longitudinal assessment, yet manual contouring is time-consuming and subject to substantial inter-observer variability. We developed TUM-SAM, a hybrid found...
Poster Program · Therapy Physics