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Proceedings Paper

Alaysis of image features of histograms of edge gradient for false positive reduction in lung nodule detection in chest radiographs
Author(s): Xin-Wei Xu; Shigehiko Katsuragawa; Kazuto Ashizawa; Heber MacMahon; Kunio Doi
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Paper Abstract

A computer-aided diagnosis (CAD) scheme could improve radiologists' diagnostic performance in their detection of lung nodules on chest radiographs if the computer output were used as a `second opinion'. The current CAD scheme that we have developed achieved a performance of 70% sensitivity and 1.7 false positives per image for our database. This database consisted of two hundred PA chest radiographs, including 100 normals and 100 abnormals (containing 122 confirmed nodules). Our purpose in this study was to improve our scheme further by incorporating new features derived from analysis of the histogram of radial edge gradients on nodule candidates.

Paper Details

Date Published: 24 June 1998
PDF: 9 pages
Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); doi: 10.1117/12.310908
Show Author Affiliations
Xin-Wei Xu, Univ. of Chicago (United States)
Shigehiko Katsuragawa, Univ. of Chicago (Japan)
Kazuto Ashizawa, Univ. of Chicago (United States)
Heber MacMahon, Univ. of Chicago (United States)
Kunio Doi, Univ. of Chicago (United States)


Published in SPIE Proceedings Vol. 3338:
Medical Imaging 1998: Image Processing
Kenneth M. Hanson, Editor(s)

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