Frontiers in Medicine
SAM3-AgeSeg: an adaptive segmentation model for bone tumors in the aging population
Background Accurate segmentation of bone tumors from X-ray images is crucial for clinical diagnosis and treatment planning. However, elderly patients pose a significant challenge to general-purpose segmentation models. Methods To address this aging-related medical challenge, we propose SAM3-AgeSeg, an adaptive segmentation model specifically designed for the aging population. Built on the powerful foundation model SAM3, our approach uses a lightweight fine-tuning technique, Low-Rank Adaptation (LoRA), to efficientl …