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...

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Detalles Bibliográficos
Autores principales: Zhu, Hancan, Tang, Zhenyu, Cheng, Hewei, Wu, Yihong, Fan, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
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

Internet

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

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