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

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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Bibliographic Details
Main Authors: Syed Furqan Qadri, Danni Ai, Guoyu Hu, Mubashir Ahmad, Yong Huang, Yongtian Wang, Jian Yang
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Applied Sciences
Subjects:
vertebrae segmentation
deep belief networks
supervised learning
Online Access:http://www.mdpi.com/2076-3417/9/1/69

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http://www.mdpi.com/2076-3417/9/1/69

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