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Proceedings Paper

Development of a computer-aided detection system for lung cancer diagnosis
Author(s): Hideo Suzuki; Noriko Inaoka; Hirotsugu Takabatake; Masaki Mori; Soichi Sasaoka; Hiroshi Natori; Akira Suzuki
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Paper Abstract

This paper describes a modified system for automatic detection of lung nodules by means of chest x ray image processing techniques. The objective of the system is to help radiologists to improve their accuracy in cancer detection. It is known from retrospective studies of chest x- ray images that radiologists fail to detect about 30 percent of lung cancer cases. A computerized method for detecting lung nodules would be very useful for decreasing the proportion of such oversights. Our proposed system consists of five sub-systems, for image input, lung region determination, nodule detection, rule-based false-positive elimination, and statistical false-positive elimination. In an experiment with the modified system, using 30 lung cancer cases and 78 normal control cases, we obtained figures of 73.3 percent and 89.7 percent for the sensitivity and specificity of the system, respectively. The system has been developed to run on the IBM* PS/55* and IBM RISC System/6000* (RS/6000), and we give the processing time for each platform.

Paper Details

Date Published: 1 June 1992
PDF: 5 pages
Proc. SPIE 1652, Medical Imaging VI: Image Processing, (1 June 1992); doi: 10.1117/12.59466
Show Author Affiliations
Hideo Suzuki, IBM Japan, Ltd. (Japan)
Noriko Inaoka, IBM Japan, Ltd. (Japan)
Hirotsugu Takabatake, Sapporo Medical College (Japan)
Masaki Mori, Sapporo Medical College (Japan)
Soichi Sasaoka, Sapporo Medical College (Japan)
Hiroshi Natori, Sapporo Medical College (Japan)
Akira Suzuki, Sapporo Medical College (Japan)

Published in SPIE Proceedings Vol. 1652:
Medical Imaging VI: Image Processing
Murray H. Loew, Editor(s)

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