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FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection
The newly discovered coronavirus (COVID-19) pneumonia is providing major challenges to research in terms of diagnosis and disease quantification. Deep-learning (DL) techniques allow extremely precise image segmentation; yet, they necessitate huge volumes of manually labeled data to be trained in a s...
में बचाया:
| में प्रकाशित: | Knowl Based Syst |
|---|---|
| मुख्य लेखकों: | , , , , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
Elsevier B.V.
2021
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7836902/ https://ncbi.nlm.nih.gov/pubmed/33519100 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.knosys.2020.106647 |
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