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Fully Automatic Localization and Segmentation of 3D Vertebral Bodies from CT/MR Images via a Learning-Based Method
In this paper, we address the problems of fully automatic localization and segmentation of 3D vertebral bodies from CT/MR images. We propose a learning-based, unified random forest regression and classification framework to tackle these two problems. More specifically, in the first stage, the locali...
Autores principales: | Chu, Chengwen, Belavý, Daniel L., Armbrecht, Gabriele, Bansmann, Martin, Felsenberg, Dieter, Zheng, Guoyan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4658120/ https://www.ncbi.nlm.nih.gov/pubmed/26599505 http://dx.doi.org/10.1371/journal.pone.0143327 |
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