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 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.
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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
Conference Date 2004/7/1(1days)
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Registration To Medical Imaging (MI)
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