Sequential fine-tuning with similarity-based data buffering and LoRA knowledge distillation improves 3D medical segmentation over parallel and multi-task fine-tuning.
Efficient conditional pre-training for transfer learning,
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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.