Cargando…
Automatic Spine Tissue Segmentation from MRI Data Based on Cascade of Boosted Classifiers and Active Appearance Model
The study introduces a novel method for automatic segmentation of vertebral column tissue from MRI images. The paper describes a method that combines multiple stages of Machine Learning techniques to recognize and separate different tissues of the human spine. For the needs of this paper, 50 MRI exa...
Autores principales: | Gaweł, Dominik, Główka, Paweł, Kotwicki, Tomasz, Nowak, Michał |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5949193/ https://www.ncbi.nlm.nih.gov/pubmed/29854791 http://dx.doi.org/10.1155/2018/7952946 |
Ejemplares similares
-
Simplified technique for DaVinci view spine presentation
por: Główka, Paweł, et al.
Publicado: (2014) -
Update on neuromonitoring procedures applied during surgery of the spine – observational study
por: Daroszewski, Przemysław, et al.
Publicado: (2023) -
Axis-Guided Vessel Segmentation Using a Self-Constructing Cascade-AdaBoost-SVM Classifier
por: Hu, Xin, et al.
Publicado: (2018) -
A Novel Cascade Classifier for Automatic Microcalcification Detection
por: Shin, Seung Yeon, et al.
Publicado: (2015) -
Automatic liver segmentation based on appearance and context information
por: Zheng, Yongchang, et al.
Publicado: (2017)