Magnus Söderberg

What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors

Transfer learning is a standard technique to transfer knowledge from one domain to another. For applications in medical imaging, transfer from ImageNet has become the de-facto approach, despite differences in the tasks and image characteristics between the domains. However, it is unclear what factor…