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Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature Abstraction
Shortage of fully annotated datasets has been a limiting factor in developing deep learning based image segmentation algorithms and the problem becomes more pronounced in multi-organ segmentation. In this paper, we propose a unified training strategy that enables a novel multi-scale deep neural netw...
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| Veröffentlicht in: | IEEE Trans Med Imaging |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7665851/ https://ncbi.nlm.nih.gov/pubmed/32746108 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2020.3001036 |
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