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Multi-atlas label fusion with random local binary pattern features: Application to hippocampus segmentation
Automatic and reliable segmentation of the hippocampus from magnetic resonance (MR) brain images is extremely important in a variety of neuroimage studies. To improve the hippocampus segmentation performance, a local binary pattern based feature extraction method is developed for machine learning ba...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856174/ https://www.ncbi.nlm.nih.gov/pubmed/31727982 http://dx.doi.org/10.1038/s41598-019-53387-9 |