Semi-Supervised Transfer Learning for medical images as an alternative to ImageNet Transfer Learning

One of the main disadvantages of supervised transfer learning is that it necessarily requires a large amount of expensive manually labelled training data. Consequently, even in medical imaging, transfer learning from natural image datasets (such as ImageNet) has become the norm. However, this approa...

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