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Pathological lung segmentation based on random forest combined with deep model and multi-scale superpixels
Accurate segmentation of lungs in pathological thoracic computed tomography (CT) scans plays an important role in pulmonary disease diagnosis. However, it is still a challenging task due to the variability of pathological lung appearances and shapes. In this paper, we proposed a novel segmentation a...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7413019/ https://www.ncbi.nlm.nih.gov/pubmed/32837245 http://dx.doi.org/10.1007/s11063-020-10330-8 |