A statistical shape model using 2D-principal component analysis from few medical samples and its evaluation

Tomoko Tateyama, Taishi Tanaka, Shinya Kohara, Amir Hossein Foruzan, Akira Furukawa, Yen Wei Chen

研究成果: Conference contribution

抄録

Since the medical training samples are very limited, it is difficult to construct a statistical shape model with good generalization using few samples. In this paper, we propose a novel statistical shape modeling method using 2D PCA. The 3D shape is represented as a matrix by spherical parameterization. The experiments showed that our proposed method can reconstruct statistical shape model with good generalization even using fewer samples.

本文言語English
ホスト出版物のタイトル2nd International Conference on Software Engineering and Data Mining, SEDM 2010
ページ663-666
ページ数4
出版ステータスPublished - 2010
外部発表はい
イベント2nd International Conference on Software Engineering and Data Mining, SEDM 2010 - Chengdu, China
継続期間: 23-06-201025-06-2010

出版物シリーズ

名前2nd International Conference on Software Engineering and Data Mining, SEDM 2010

Conference

Conference2nd International Conference on Software Engineering and Data Mining, SEDM 2010
国/地域China
CityChengdu
Period23-06-1025-06-10

All Science Journal Classification (ASJC) codes

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