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Proceedings Paper

Classification experiments of pulmonary nodules using high-resolution CT images
Author(s): Wakako Ichikawa; Yoshiki Kawata; Noboru Niki; Hironobu Ohmatsu; Masahiko Kusumoto; Ryutaro Kakinuma; Kiyoshi Mori; Hiroyuki Nishiyama; Kenji Eguchi; Masahiro Kaneko; Noriyuki Moriyama
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Paper Abstract

In assessing the malignant potential of small pulmonary nodules in thin-section CT images, it is important to examine the nodule internal structure. In our previous work, we found that internal structure features derived from CT density and curvature indexes such shape index and curvedness were useful for differentiating malignant and benign nodules in 3-D thoracic CT images. This may be attributed to the texture changes in the nodule region due to a developing malignancy. We present a joint histogram-based representation approach of inner structures of the nodule to visualize the characteristics between nodules.

Paper Details

Date Published: 9 May 2002
PDF: 12 pages
Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); doi: 10.1117/12.467088
Show Author Affiliations
Wakako Ichikawa, Univ. of Tokushima (Japan)
Yoshiki Kawata, Univ. of Tokushima (Japan)
Noboru Niki, Univ. of Tokushima (Japan)
Hironobu Ohmatsu, National Cancer Ctr. Hospital East (Japan)
Masahiko Kusumoto, National Cancer Ctr. Hospital (Japan)
Ryutaro Kakinuma, National Cancer Ctr. Hospital East (Japan)
Kiyoshi Mori, Tochigi Cancer Ctr. (Japan)
Hiroyuki Nishiyama, Social Health Insurance Medical Ctr. (Japan)
Kenji Eguchi, National Shikoku Cancer Ctr. Hospital (Japan)
Masahiro Kaneko, National Cancer Ctr. Hospital (Japan)
Noriyuki Moriyama, National Cancer Ctr. Hospital (Japan)

Published in SPIE Proceedings Vol. 4684:
Medical Imaging 2002: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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