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Abdominal multi-organ auto-segmentation using 3D-patch-based deep convolutional neural network
Segmentation of normal organs is a critical and time-consuming process in radiotherapy. Auto-segmentation of abdominal organs has been made possible by the advent of the convolutional neural network. We utilized the U-Net, a 3D-patch-based convolutional neural network, and added graph-cut algorithm-...
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| Publicat a: | Sci Rep |
|---|---|
| Autors principals: | , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group UK
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7148331/ https://ncbi.nlm.nih.gov/pubmed/32277135 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-63285-0 |
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