抄録
In medical image analysis, segmentation of medical images such as Computed Tomography (CT) volumetric images is necessary for further medical image analysis and computer aided intervention. We propose a method for medical image segmentation by higherorder energy minimization. Specifically, we introduce a higher-order term that describes the continuity around the edge points of a CT image. The parameters of the energy terms are determined according to various conditional probabilities learned from sample data with the ground truth. Then we minimize the energy using graph cuts and evaluate the effectiveness of the introduction of the term into the traditional energy.
本文言語 | English |
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ホスト出版物のタイトル | Proceedings of the 14th IAPR International Conference on Machine Vision Applications, MVA 2015 |
出版社 | Institute of Electrical and Electronics Engineers Inc. |
ページ | 547-550 |
ページ数 | 4 |
ISBN(印刷版) | 9784901122153 |
DOI | |
出版ステータス | Published - 2015 7 8 |
イベント | 14th IAPR International Conference on Machine Vision Applications, MVA 2015 - Tokyo, Japan 継続期間: 2015 5 18 → 2015 5 22 |
Other
Other | 14th IAPR International Conference on Machine Vision Applications, MVA 2015 |
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Country | Japan |
City | Tokyo |
Period | 15/5/18 → 15/5/22 |
ASJC Scopus subject areas
- Computer Science Applications
- Computer Vision and Pattern Recognition