Development of a computer-aided detection system for lung cancer diagnosis

Hideo Suzuki; Noriko Inaoka; Hirotsugu Takabatake; Masaki Mori; Soichi Sasaoka; Hiroshi Natori; Akira Suzuki

doi:10.1117/12.59466

1 June 1992 Development of a computer-aided detection system for lung cancer diagnosis

Hideo Suzuki, Noriko Inaoka, Hirotsugu Takabatake, Masaki Mori, Soichi Sasaoka, Hiroshi Natori, Akira Suzuki

Proceedings Volume 1652, Medical Imaging VI: Image Processing; (1992) https://doi.org/10.1117/12.59466
Event: Medical Imaging VI, 1992, Newport Beach, CA, United States

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.

Citation Download Citation

Hideo Suzuki, Noriko Inaoka, Hirotsugu Takabatake, Masaki Mori, Soichi Sasaoka, Hiroshi Natori, and Akira Suzuki "Development of a computer-aided detection system for lung cancer diagnosis", Proc. SPIE 1652, Medical Imaging VI: Image Processing, (1 June 1992); https://doi.org/10.1117/12.59466

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available