Transfusion: Understanding Transfer Learning for Medical Imaging

摘要

Transfer learning from natural image datasets, particularly IMAGENET, using standard large models and corresponding pretrained weights has become a de-facto method for deep learning applications to medical imaging. However, there are fundamental differences in data sizes, features and task specifications between natural image classification and the target medical tasks, and there is little understanding of the effects of transfer. In this paper, we explore properties of transfer learning for medical imaging. A performance evaluation o...更多

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NeurIPS, 2019.

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