Identifying and segmenting medical images plays a crucial role in advancing precision cancer treatment. This study proposes a Vision Foundation Model General Lightweight (VFMGL) framework, which facilitates the decentralized construction of expert clinical models for various medical image tasks.
- Senliang Lu
- Yehang Chen
- Bao Feng
