CT image segmentation for inflamed and fibrotic lungs using a multi-resolution convolutional neural network
Abstract The purpose of this study was to develop a fully-automated segmentation algorithm, robust to various density enhancing lung abnormalities, to facilitate rapid quantitative analysis of computed tomography images. A polymorphic training approach is proposed, in which both specifically labeled...
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| Auteurs principaux: | , , , , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/67123f2fad0c4e4f98f42b8ab456559b |
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