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Preparing CT imaging datasets for deep learning in lung nodule analysis: Insights from four well-known datasets
Background: Deep learning is an important means to realize the automatic detection, segmentation, and classification of pulmonary nodules in computed tomography (CT) images. An entire CT scan cannot directly be used by deep learning models due to image size, image format, image dimensionality, and o...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361226/ https://www.ncbi.nlm.nih.gov/pubmed/37484314 http://dx.doi.org/10.1016/j.heliyon.2023.e17104 |