Multi-organ segmentation by minimization of higher-order energy for CT boundary

Asuka Okagawa, Yuji Oyamada, Yoshihiko Mochizuki, Hiroshi Ishikawa

研究成果: Conference contribution

1 被引用数 (Scopus)

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
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 182015 5 22

Other

Other14th IAPR International Conference on Machine Vision Applications, MVA 2015
CountryJapan
CityTokyo
Period15/5/1815/5/22

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

フィンガープリント 「Multi-organ segmentation by minimization of higher-order energy for CT boundary」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル