Sequential fine-tuning with similarity-based data buffering and LoRA knowledge distillation improves 3D medical segmentation over parallel and multi-task fine-tuning.
Expert tumor annotations and radiomic features for the ispy1/acrin 6657 trial data collection,
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MedSeqFT: Sequential Fine-tuning Foundation Models for 3D Medical Image Segmentation
Sequential fine-tuning with similarity-based data buffering and LoRA knowledge distillation improves 3D medical segmentation over parallel and multi-task fine-tuning.