A Comprehensive Benchmark for Adapting Vision Transformers to Diverse Medical Imaging Tasks

The core message of this work is to introduce a large-scale medical visual task adaptation benchmark (Med-VTAB) and a novel Gated Mixture-of-Experts Adapter (GMoE-Adapter) to enhance the adaptability of pre-trained Vision Transformers (ViTs) to a broad spectrum of medical imaging tasks.