Efficient Adaptation of a Transformer-based Tumor Segmentation Model to Leverage Multi-Modal Medical Imaging Data
A parameter-efficient framework for upgrading a transformer-based tumor segmentation model trained on CT scans to effectively utilize additional PET scans, while minimizing cross-modal entanglement.