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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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| Vydáno v: | Sci Rep |
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| Hlavní autoři: | , , , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Publishing Group UK
2020
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| Témata: | |
| On-line přístup: | 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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