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About MICCAI 2019 Full PDF
This paper presents Models Genesis, a set of self-supervised models trained on unlabeled medical images to learn common anatomical representations. Models Genesis outperform training from scratch or fine-tuning pre-trained natural image models on 7 medical image analysis tasks. Specifically, Genesis Chest CT, trained directly on 3D chest CT scans, achieves the best performance by leveraging 3D anatomical information lost in 2D approaches. The models are made publicly available to serve as source models for transfer learning to new medical image applications.
Detailed Information
| Author: | ['Winfried Lötzsch'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 27 |
| Language: | English |
| Format: | |
| Price: | FREE |
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