Automatic Spine Vertebra segmentation in CT images using Deep Learning

被引：0

作者：

Wu, Ping-Cheng ^{[1
]}

Huang, Teng-Yi ^{[1
]}

Juan, Chun-Jung ^{[2
,3
,4
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Dept Elect Engn, Taipei, Taiwan

[2] China Med Univ, Dept Med Imaging, Hsinchu Hosp, Hsinchu, Taiwan

[3] China Med Univ, Sch Med, Dept Radiol, Coll Med, Taichung, Taiwan

[4] China Med Univ Hosp, Dept Med Imaging, Taichung, Taiwan

来源：

2019 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ISPACS) | 2019年

关键词：

D O I：

10.1109/ispacs48206.2019.8986367

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this study, we aimed to develop a fully automatic segmentation and classification system for spine vertebra regions. We used datasets provided by xVertSeg and trained a SegNet segmentation model. In our preliminary result, this model was able to identify the spine vertebra regions and levels.

引用

页数：2

共 4 条

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[4]

Vijay B., 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence, V39, P2481, DOI DOI 10.1109/TPAMI.2016.2644615

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