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Proceedings Paper

Computer-Aided Diagnostic System For Mass Survey Chest Images
Author(s): Yoshizumi Yasuda; Yasuhiro Kinoshita; Yasufumi Emori; Hitoshi Yoshimura
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Paper Abstract

In order to support screening of chest radiographs on mass survey, a computer-aided diagnostic system that automatically detects abnormality of candidate images using a digital image analysis technique has been developed. Extracting boundary lines of lung fields and examining their shapes allowed various kind of abnormalities to be detected. Correction and expansion were facilitated by describing the system control, image analysis control and judgement of abnormality in the rule type programing language. In the experiments using typical samples of student's radiograms, good results were obtained for the detection of abnormal shape of lung field, cardiac hypertrophy and scoliosis. As for the detection of diaphragmatic abnormality, relatively good results were obtained but further improvements will be necessary.

Paper Details

Date Published: 27 June 1988
PDF: 10 pages
Proc. SPIE 0914, Medical Imaging II, (27 June 1988); doi: 10.1117/12.968712
Show Author Affiliations
Yoshizumi Yasuda, Chiba University (Japan)
Yasuhiro Kinoshita, Chiba University (Japan)
Yasufumi Emori, Konica Corporation (Japan)
Hitoshi Yoshimura, Konica Corporation (Japan)


Published in SPIE Proceedings Vol. 0914:
Medical Imaging II
Samuel J. Dwyer; Roger H. Schneider; Roger H. Schneider; Samuel J. Dwyer; Samuel J. Dwyer; Roger H. Schneider, Editor(s)

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