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Artificially-generated consolidations and balanced augmentation increase performance of U-net for lung parenchyma segmentation on MR images
PURPOSE: To improve automated lung segmentation on 2D lung MR images using balanced augmentation and artificially-generated consolidations for training of a convolutional neural network (CNN). MATERIALS AND METHODS: From 233 healthy volunteers and 100 patients, 1891 coronal MR images were acquired....
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168553/ https://www.ncbi.nlm.nih.gov/pubmed/37159468 http://dx.doi.org/10.1371/journal.pone.0285378 |