Transfer learning

Transfer learning takes a model trained on one task and adapts it for another. ImageNet pre-trained CNNs can be fine-tuned for medical image analysis.

• Transfer learning reuses pre-trained knowledge.
• Fine-tuning adapts models to new domains.