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Proceedings Paper

CAD system for lung cancer CT screening
Author(s): Yuya Takeda; Masaaki Tamaru; Yoshiki Kawata; Mitsuru Kubo; Noboru Niki; Hironobu Ohmatsu; Ryutaro Kakinuma; Masahiro Kaneko; Masahiko Kusumoto; Kenji Eguchi; Noriyuki Moriyama; Kiyoshi Mori; Hiroyuki Nishiyama
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Paper Abstract

Lung Cancer is known as one of the most difficult cancers to cure. The detection of lung cancer in its early stage can be helpful for medical treatment to danger. However, mass screening based on helical CT images brings a considerable number of images to diagnosis, the time-consuming fact makes it difficult to be used in the clinic. To increase the efficiency of the mass screening process, we developed a Computer-aided diagnosis (CAD) system, which can detect nodules at high speed. It takes 17 seconds per case (35 images) to detect nodules. In this paper, we describe the development of this CAD system and specifications.

Paper Details

Date Published: 15 May 2003
PDF: 8 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.483546
Show Author Affiliations
Yuya Takeda, Univ. of Tokushima (Japan)
Masaaki Tamaru, Univ. of Tokushima (Japan)
Yoshiki Kawata, Univ. of Tokushima (Japan)
Mitsuru Kubo, Univ. of Tokushima (Japan)
Noboru Niki, Univ. of Tokushima (Japan)
Hironobu Ohmatsu, National Cancer Ctr. Hospital East (Japan)
Ryutaro Kakinuma, National Cancer Ctr. Hospital East (Japan)
Masahiro Kaneko, National Cancer Ctr. Hospital (Japan)
Masahiko Kusumoto, National Cancer Ctr. Hospital (Japan)
Kenji Eguchi, Univ. of Tokai (Japan)
Noriyuki Moriyama, National Cancer Ctr. Hospital (Japan)
Kiyoshi Mori, National Tochigi Cancer Ctr. Hospital (Japan)
Hiroyuki Nishiyama, Social Health Insurance Medical Ctr. (Japan)


Published in SPIE Proceedings Vol. 5032:
Medical Imaging 2003: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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