Presentation | 2004/7/1 Detection gastric region by using the classification of length, and its application to computer aided diagnosis. Yukiyasu YOSHINAGA, Hiroki TAKEMOTO, Shigehiro FUKUSHIMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a new method to detect convergent folds by the computer using the scale structure of length of line in the double contrast X-ray image. Complex line structures like outline of stomach, folds and other minute structures are seen in the double contrast X-ray image. In this paper, we select lines by the length based scale classification from the gastric region that should be evaluated as a candidate of lesion. The fold concentration degree is calculated from the selected line, and can indicate lesions. From the experiment result, our method can detect 90.2% of lesions. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Double contrast X-ray image / Computer aided diagnosis / Convergent fold / Active Contour Model / Edgel |
Paper # | MI2004-33 |
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Committee | MI |
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Conference Date | 2004/7/1(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Medical Imaging (MI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Detection gastric region by using the classification of length, and its application to computer aided diagnosis. |
Sub Title (in English) | |
Keyword(1) | Double contrast X-ray image |
Keyword(2) | Computer aided diagnosis |
Keyword(3) | Convergent fold |
Keyword(4) | Active Contour Model |
Keyword(5) | Edgel |
1st Author's Name | Yukiyasu YOSHINAGA |
1st Author's Affiliation | Graduate School of design, Kyushu Institute of Design() |
2nd Author's Name | Hiroki TAKEMOTO |
2nd Author's Affiliation | Graduate School of Design, Kyushu University |
3rd Author's Name | Shigehiro FUKUSHIMA |
3rd Author's Affiliation | Graduate School of design, Kyushu Institute of Design |
Date | 2004/7/1 |
Paper # | MI2004-33 |
Volume (vol) | vol.104 |
Number (no) | 163 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |