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AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining
The development of deep learning algorithms for complex tasks in digital medicine has relied on the availability of large labeled training datasets, usually containing hundreds of thousands of examples. The purpose of this study was to develop a 3D deep learning model, AppendiXNet, to detect appendi...
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| Veröffentlicht in: | Sci Rep |
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| Hauptverfasser: | , , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7054445/ https://ncbi.nlm.nih.gov/pubmed/32127625 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-61055-6 |
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