1 June 1992 Development of a computer-aided detection system for lung cancer diagnosis
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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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hideo Suzuki, Hideo Suzuki, Noriko Inaoka, Noriko Inaoka, Hirotsugu Takabatake, Hirotsugu Takabatake, Masaki Mori, Masaki Mori, Soichi Sasaoka, Soichi Sasaoka, Hiroshi Natori, Hiroshi Natori, Akira Suzuki, Akira Suzuki, } "Development of a computer-aided detection system for lung cancer diagnosis", Proc. SPIE 1652, Medical Imaging VI: Image Processing, (1 June 1992); doi: 10.1117/12.59466; https://doi.org/10.1117/12.59466

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