MSA-SAM: A Decoder Enhancement Framework for 3D Tumor Segmentation Based on Segment Anything
Accurate tumor segmentation in 3D medical images is essential for clinical diagnosis, treatment planning, and prognosis. However, this task remains challenging due to low contrast, irregular morphology, and indistinct boundaries. Most Segment Anything Model (SAM)-based medical imaging studies focus on improving the enc...