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.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-31
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Wound segmentation plays an important supporting role in the wound observation and wound healing.
Current methods of image segmentation include those based on traditional process of image and those based on deep neural networks.
The traditional methods use the artificial image features to complete the task without large amounts of labeled data.
Meanwhile, the methods based on deep neural networks can extract the image features effectively without the artificial design, but lots of training data are required.
Combined with the advantages of them, this paper presents a composite model of wound segmentation.
The model uses the skin with wound detection algorithm we designed in the paper to highlight image features.
Then, the preprocessed images are segmented by deep neural networks.
And semantic corrections are applied to the segmentation results at last.
The model shows a good performance in our experiment.
American Psychological Association (APA)
Li, Fangzhao& Wang, Changjian& Liu, Xiaohui& Peng, Yu-Xing& Jin, Shiyao. 2018. A Composite Model of Wound Segmentation Based on Traditional Methods and Deep Neural Networks. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1130700
Modern Language Association (MLA)
Li, Fangzhao…[et al.]. A Composite Model of Wound Segmentation Based on Traditional Methods and Deep Neural Networks. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1130700
American Medical Association (AMA)
Li, Fangzhao& Wang, Changjian& Liu, Xiaohui& Peng, Yu-Xing& Jin, Shiyao. A Composite Model of Wound Segmentation Based on Traditional Methods and Deep Neural Networks. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1130700
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130700