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A novel image augmentation based on statistical shape and intensity models: application to the segmentation of hip bones from CT images
BACKGROUND: The collection and annotation of medical images are hindered by data scarcity, privacy, and ethical reasons or limited resources, negatively affecting deep learning approaches. Data augmentation is often used to mitigate this problem, by generating synthetic images from training sets to...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Vienna
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406777/ https://www.ncbi.nlm.nih.gov/pubmed/37550543 http://dx.doi.org/10.1186/s41747-023-00357-6 |