Paper
24 June 1998 Alaysis of image features of histograms of edge gradient for false positive reduction in lung nodule detection in chest radiographs
Xin-Wei Xu, Shigehiko Katsuragawa, Kazuto Ashizawa, Heber MacMahon, Kunio Doi
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xin-Wei Xu, Shigehiko Katsuragawa, Kazuto Ashizawa, Heber MacMahon, and Kunio Doi "Alaysis of image features of histograms of edge gradient for false positive reduction in lung nodule detection in chest radiographs", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310908
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Cited by 20 scholarly publications.
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KEYWORDS
Computer aided diagnosis and therapy

Lung

Chest

Chest imaging

Databases

Computer aided design

Image analysis

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