Feature Learning Based Random Walk for Liver Segmentation.
Liver segmentation is a significant processing technique for computer-assisted diagnosis. This method has attracted considerable attention and achieved effective result. However, liver segmentation using computed tomography (CT) images remains a challenging task because of the low contrast between t...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2016-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC5112808?pdf=render |
| _version_ | 1818619500166119424 |
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| author | Yongchang Zheng Danni Ai Pan Zhang Yefei Gao Likun Xia Shunda Du Xinting Sang Jian Yang |
| author_facet | Yongchang Zheng Danni Ai Pan Zhang Yefei Gao Likun Xia Shunda Du Xinting Sang Jian Yang |
| author_sort | Yongchang Zheng |
| collection | DOAJ |
| description | Liver segmentation is a significant processing technique for computer-assisted diagnosis. This method has attracted considerable attention and achieved effective result. However, liver segmentation using computed tomography (CT) images remains a challenging task because of the low contrast between the liver and adjacent organs. This paper proposes a feature-learning-based random walk method for liver segmentation using CT images. Four texture features were extracted and then classified to determine the classification probability corresponding to the test images. Seed points on the original test image were automatically selected and further used in the random walk (RW) algorithm to achieve comparable results to previous segmentation methods. |
| first_indexed | 2024-12-16T17:38:28Z |
| format | Article |
| id | doaj.art-b5b23a4e484f4f098f5a16030b2ed0dd |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-16T17:38:28Z |
| publishDate | 2016-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-b5b23a4e484f4f098f5a16030b2ed0dd2022-12-21T22:22:41ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011111e016409810.1371/journal.pone.0164098Feature Learning Based Random Walk for Liver Segmentation.Yongchang ZhengDanni AiPan ZhangYefei GaoLikun XiaShunda DuXinting SangJian YangLiver segmentation is a significant processing technique for computer-assisted diagnosis. This method has attracted considerable attention and achieved effective result. However, liver segmentation using computed tomography (CT) images remains a challenging task because of the low contrast between the liver and adjacent organs. This paper proposes a feature-learning-based random walk method for liver segmentation using CT images. Four texture features were extracted and then classified to determine the classification probability corresponding to the test images. Seed points on the original test image were automatically selected and further used in the random walk (RW) algorithm to achieve comparable results to previous segmentation methods.http://europepmc.org/articles/PMC5112808?pdf=render |
| spellingShingle | Yongchang Zheng Danni Ai Pan Zhang Yefei Gao Likun Xia Shunda Du Xinting Sang Jian Yang Feature Learning Based Random Walk for Liver Segmentation. PLoS ONE |
| title | Feature Learning Based Random Walk for Liver Segmentation. |
| title_full | Feature Learning Based Random Walk for Liver Segmentation. |
| title_fullStr | Feature Learning Based Random Walk for Liver Segmentation. |
| title_full_unstemmed | Feature Learning Based Random Walk for Liver Segmentation. |
| title_short | Feature Learning Based Random Walk for Liver Segmentation. |
| title_sort | feature learning based random walk for liver segmentation |
| url | http://europepmc.org/articles/PMC5112808?pdf=render |
| work_keys_str_mv | AT yongchangzheng featurelearningbasedrandomwalkforliversegmentation AT danniai featurelearningbasedrandomwalkforliversegmentation AT panzhang featurelearningbasedrandomwalkforliversegmentation AT yefeigao featurelearningbasedrandomwalkforliversegmentation AT likunxia featurelearningbasedrandomwalkforliversegmentation AT shundadu featurelearningbasedrandomwalkforliversegmentation AT xintingsang featurelearningbasedrandomwalkforliversegmentation AT jianyang featurelearningbasedrandomwalkforliversegmentation |