Self-supervised pre-training on unlabeled 3D chest CT scans produces source models that, after fine-tuning, outperform both training from scratch and 2D ImageNet transfer on several 3D medical imaging tasks.
In: Springer Handbook of Medical Technol- ogy, 311–342 (2011) 13
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Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
Self-supervised pre-training on unlabeled 3D chest CT scans produces source models that, after fine-tuning, outperform both training from scratch and 2D ImageNet transfer on several 3D medical imaging tasks.