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- FUJII Atsuko
- Graduate school of medicine, YAMAGUCHI University
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- KIDO Shoji
- Graduate school of medicine, YAMAGUCHI University
Bibliographic Information
- Other Title
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- 3次元胸部CT画像からの大病変を有する肺野領域の抽出
- 3ジゲン キョウブ CT ガゾウ カラ ノ ダイ ビョウヘン オ ユウスル ハイヤリョウイキ ノ チュウシュツ
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Description
Segmentation of lung areas from CT data is important as pre-processing for thoracic CAD that analyzes Pulmonary diseases. This paper presents a segmentation method for lung areas With huge pathological lesions diseases. In case with lung diseases, it is very difficult to identify lung areas precisely by only use of threshold-based method. In our study, we tried to obtain segmented lung areas by use of registration-based method.
Journal
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- Reports of the Technical Conference of the Institute of Image Electronics Engineers of Japan
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Reports of the Technical Conference of the Institute of Image Electronics Engineers of Japan 09-02 (0), 7-10, 2009
The Institute of Image Electronics Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001205597621504
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- NII Article ID
- 130005442135
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- NII Book ID
- AN00348041
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- ISSN
- 02853957
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- NDL BIB ID
- 10494378
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed