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...

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Detalles Bibliográficos
Autores principales: Chu, Chengwen, Belavý, Daniel L., Armbrecht, Gabriele, Bansmann, Martin, Felsenberg, Dieter, Zheng, Guoyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
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

Internet

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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