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Proceedings Paper

Computer-aided diagnosis scheme for detecting pulmonary nodules using wavelet transform
Author(s): Hiroyuki Yoshida; Xin-Wei Xu; Takeshi Kobayashi; Maryellen Lissak Giger; Kunio Doi
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Paper Abstract

To aid radiologists in the detection of lung cancer, we are developing a computer-aided diagnosis (CAD) system that locates areas suspicious for nodules in digital chest radiographs. The system involves a difference-image approach and various feature-extraction techniques. To improve the sensitivity of the overall scheme, we investigated an approach based on the wavelet transform. We found that the wavelet transform is effective in detecting subtle nodules that were not detected by the difference-image technique. By combining the two schemes based on the difference-image and the wavelet transform, the sensitivity was increased from 81% to 86% while maintaining approximately the same level of specificity.

Paper Details

Date Published: 12 May 1995
PDF: 6 pages
Proc. SPIE 2434, Medical Imaging 1995: Image Processing, (12 May 1995); doi: 10.1117/12.208735
Show Author Affiliations
Hiroyuki Yoshida, Univ. of Chicago (United States)
Xin-Wei Xu, Univ. of Chicago (United States)
Takeshi Kobayashi, Univ. of Chicago (United States)
Maryellen Lissak Giger, Univ. of Chicago (United States)
Kunio Doi, Univ. of Chicago (United States)

Published in SPIE Proceedings Vol. 2434:
Medical Imaging 1995: Image Processing
Murray H. Loew, Editor(s)

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