Feature Learning Based Random Walk for Liver Segmentation

Yongchang Zheng; Danni Ai; Pan Zhang; Yefei Gao; Likun Xia; Shunda Du; Xinting Sang; Jian Yang

doi:10.1371/journal.pone.0164098

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Open Access

Peer-reviewed

Research Article

Feature Learning Based Random Walk for Liver Segmentation

Yongchang Zheng,

Affiliation Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
⨯
Danni Ai ,

* E-mail: danni@bit.edu.cn

Affiliation Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing, 100081, China
⨯
Pan Zhang,

Affiliation Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing, 100081, China
⨯
Yefei Gao,

Affiliation Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing, 100081, China
⨯
Likun Xia,

Affiliation Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing, 100081, China
⨯
Shunda Du,

Affiliation Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
⨯
Xinting Sang,

Affiliation Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
⨯
Jian Yang

Affiliation Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing, 100081, China
⨯

Feature Learning Based Random Walk for Liver Segmentation

Yongchang Zheng,
Danni Ai,
Pan Zhang,
Yefei Gao,
Likun Xia,
Shunda Du,
Xinting Sang,
Jian Yang

Published: November 15, 2016
https://doi.org/10.1371/journal.pone.0164098

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