| 講演抄録/キーワード |
| 講演名 |
2009-01-21 09:50
[ポスター講演]Computer-aided Classification of HEp-2 Cell in Indirect Immuno-fluorescence Images Yu-Lang Jao・○Chen-Chang Han(Tunghai Univ.)・Tsu-Yi Hsieh(Taichung Veterans General Hospital)・Yu-Len Huang(Tunghai Univ.) MI2008-176 |
| 抄録 |
(和) |
Indirect immuno-fluorescence (IIF) with HEp-2 cells has been used to detect antinuclear auto-antibodies (ANA) for diagnosing systemic autoimmune diseases. The aim of this study is to develop an automatic scheme to identify the fluorescence pattern of HEp-2 cell in the IIF images. By using the previously proposed adaptive edge-based segmentation method to contour each fluorescence cell, the proposed classification method utilized decision tree model with five textural features to identify the fluorescence pattern. This study evaluated 600 autoantibody fluorescence patterns from IIF images that were divided into six pattern categories (including diffuse, peripheral, coarse speckled, fine speckled, discrete speckled and nucleolar patterns). The simulations show that the proposed system differentiates autoantibody fluorescence patterns with a good result and is therefore clinically useful to provide a second opinion. |
| (英) |
Indirect immuno-fluorescence (IIF) with HEp-2 cells has been used to detect antinuclear auto-antibodies (ANA) for diagnosing systemic autoimmune diseases. The aim of this study is to develop an automatic scheme to identify the fluorescence pattern of HEp-2 cell in the IIF images. By using the previously proposed adaptive edge-based segmentation method to contour each fluorescence cell, the proposed classification method utilized decision tree model with five textural features to identify the fluorescence pattern. This study evaluated 600 autoantibody fluorescence patterns from IIF images that were divided into six pattern categories (including diffuse, peripheral, coarse speckled, fine speckled, discrete speckled and nucleolar patterns). The simulations show that the proposed system differentiates autoantibody fluorescence patterns with a good result and is therefore clinically useful to provide a second opinion. |
| キーワード |
(和) |
Antinuclear auto-antibodies / Indirect immuno-fluorescence / Pattern classification / Decision tree model / Image segmentation / / / |
| (英) |
Antinuclear auto-antibodies / Indirect immuno-fluorescence / Pattern classification / Decision tree model / Image segmentation / / / |
| 文献情報 |
信学技報, vol. 108, no. 385, MI2008-176, pp. 527-530, 2009年1月. |
| 資料番号 |
MI2008-176 |
| 発行日 |
2009-01-12 (MI) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| PDFダウンロード |
MI2008-176 |