Corrigendum to “A Composite Model of Wound Segmentation Based on Traditional Methods and Deep Neural Networks”
Joint Authors
Peng, Yu-Xing
Li, Fangzhao
Wang, Changjian
Liu, Xiaohui
Jin, Shiyao
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-1, 1 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-12
Country of Publication
Egypt
No. of Pages
1
Main Subjects
Abstract EN
In the article titled “A Composite Model of Wound Segmentation Based on Traditional Methods and Deep Neural Networks” [1], the first affiliation was incomplete.
The revised affiliations’ list is shown above.
American Psychological Association (APA)
Li, Fangzhao& Wang, Changjian& Liu, Xiaohui& Peng, Yu-Xing& Jin, Shiyao. 2018. Corrigendum to “A Composite Model of Wound Segmentation Based on Traditional Methods and Deep Neural Networks”. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-1.
https://search.emarefa.net/detail/BIM-1130755
Modern Language Association (MLA)
Li, Fangzhao…[et al.]. Corrigendum to “A Composite Model of Wound Segmentation Based on Traditional Methods and Deep Neural Networks”. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-1.
https://search.emarefa.net/detail/BIM-1130755
American Medical Association (AMA)
Li, Fangzhao& Wang, Changjian& Liu, Xiaohui& Peng, Yu-Xing& Jin, Shiyao. Corrigendum to “A Composite Model of Wound Segmentation Based on Traditional Methods and Deep Neural Networks”. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-1.
https://search.emarefa.net/detail/BIM-1130755
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130755
