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Proceedings Paper

Image-Processing Techniques Used In The Computer-Aided Detection Of Radiographic Lesions In Anatomic Background
Author(s): Maryellen L. Giger; Kunio Doi; Heber MacMahon; Fang-Fang Yin
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Paper Abstract

We are develo1pipg feature-extraction techniques for use in the computer-aided detection of pulmonary nodules in digital chest images. Use of such a computer-aided detection scheme, which would alert radiologists to the locations of suspected lung nodules, is expected to reduce the number of false-negative dieggoses. False-negative diagnoses (i.e., misses) are a current problem in chest radiology with "miss-rates" as high as 30%. This may be due to the camouflaging effect of surrounding anatomic background on the nodule, or to the subjective and varying decision criteria used by radiologists.

Paper Details

Date Published: 27 June 1988
PDF: 3 pages
Proc. SPIE 0914, Medical Imaging II, (27 June 1988); doi: 10.1117/12.968691
Show Author Affiliations
Maryellen L. Giger, The University of Chicago (United States)
Kunio Doi, The University of Chicago (United States)
Heber MacMahon, The University of Chicago (United States)
Fang-Fang Yin, The University of Chicago (United States)

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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