| 講演抄録／キーワード |
| 講演名 |
2007-01-27 09:45
Automatic Spinal Deformity Detection Employing AdaBoost
○Satoshi Nakano・Hyoungseop Kim・Seiji Ishikawa（Kyushu Inst. of Tech.）・Yoshinori Otsuka（National Sanatorium Chiba Higashi Hospital）・Hisashi Shimizu（Chiba Foundation for Health Promotion & Disease Prevention）・Takashi Shinomiya（Nikon Co.LTD Japan） |
| 抄録 |
（和） |
(まだ登録されていません) |
| （英） |
Spinal deformity is a serious disease, mainly suffered by teenagers, especially girl’s student, during their growth stage. To find the spinal deformity in early stage, orthopedists have traditionally performed on children a painless examination called a forward bending test in mass screening of school. But this test is neither objective nor reproductive, and the inspection takes much time when applied to medical examination in schools. To solve this problem, a moiré method has been proposed which takes moiré topographic images of human subject backs and checks symmetry/asymmetry of the moiré patterns in a two-dimensional way. In this paper, we propose a new method for automatic detection of spinal deformity from moiré topographic images. Feature of asymmetry degrees are applied to train employing the Neural Network and AdaBoost. |
| キーワード |
（和） |
/ / / / / / / |
| （英） |
Moire topographic image / Spinal deformity / Symmetry / ANN / AdaBoost / / / |
| 文献情報 |
信学技報, vol. 106, no. 510, MI2006-185, pp. 101-104, 2007年1月. |
| 資料番号 |
MI2006-185 |
| 発行日 |
2007-01-20 (MI) |
| ISSN |
Print edition: ISSN 0913-5685 |
| PDFダウンロード |
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