Liver Segmentation Technique for CT Images Based on Statistical Analysis
This article presented the automatic diagnosis of liver pathologies and its 3D volume rendering. The first and fundamental step in all these studies is the automatic liver segmentation, which is still an open problem. In this thesis, two automatic methods are described to segment the liver from abdo...
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| Veröffentlicht in: | Journal of communication and computer 2014-03, Vol.11 (3), p.274-277 |
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| container_title | Journal of communication and computer |
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| creator | Khaled El-Sayed Ali Abdel Rahman Elsayed Sherif A. Sami Abdallah S. Ahmed |
| description | This article presented the automatic diagnosis of liver pathologies and its 3D volume rendering. The first and fundamental step in all these studies is the automatic liver segmentation, which is still an open problem. In this thesis, two automatic methods are described to segment the liver from abdominal CT image data. The first step is image enhancement. Secondly, texture analysis is using standard statistical measures, finally it is a rough mask to segment the liver. |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 1548-7709 |
| ispartof | Journal of communication and computer, 2014-03, Vol.11 (3), p.274-277 |
| issn | 1548-7709 1930-1553 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1671557091 |
| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Automation CT图像 Image enhancement Liver Segmentation Segments Surface layer Texture 分割技术 图像增强 图像数据 统计分析 统计方法 肝脏 自动诊断 |
| title | Liver Segmentation Technique for CT Images Based on Statistical Analysis |
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