Automatic Deep Feature Learning via Patch-Based Deep Belief Network for Vertebrae Segmentation in CT Images

Precise automatic vertebra segmentation in computed tomography (CT) images is important for the quantitative analysis of vertebrae-related diseases but remains a challenging task due to high variation in spinal anatomy among patients. In this paper, we propose a deep learning approach for automatic...

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Detalhes bibliográficos

Principais autores:	Syed Furqan Qadri, Danni Ai, Guoyu Hu, Mubashir Ahmad, Yong Huang, Yongtian Wang, Jian Yang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2018-12-01
coleção:	Applied Sciences
Assuntos:	vertebrae segmentation deep belief networks supervised learning
Acesso em linha:	http://www.mdpi.com/2076-3417/9/1/69
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