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Which method applies existing large-scale models to improve accuracy when training data for medical images is scarce?
①Only perform cross-validation.
②Treat the data entirely as training data.
③Train only using unsupervised learning.
④Transfer learning (fine-tuning a pre-trained model)
⑤Only perform random hyperparameter search.