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Automatic airway segmentation from computed tomography using robust and efficient 3-D convolutional neural networks
This paper presents a fully automatic and end-to-end optimised airway segmentation method for thoracic computed tomography, based on the U-Net architecture. We use a simple and low-memory 3D U-Net as backbone, which allows the method to process large 3D image patches, often comprising full lungs, in...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346579/ https://www.ncbi.nlm.nih.gov/pubmed/34362949 http://dx.doi.org/10.1038/s41598-021-95364-1 |