Neural networks for computer-aided diagnosis detection of lung nodules in chest radiograms.

Neural networks for computer-aided diagnosis detection of lung nodules in chest radiograms.

The paper describes a neural-network-based system for the computer aided detection of lung nodules in chest radiograms. Our approach is based on multiscale processing and artificial neural networks (ANNs). The problem of nodule detection is faced by using a two-stage architecture including: 1) an at...

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Bibliographic Details
Published in:IEEE Transactions on information technology in biomedicine 7, 4 (2003).
Main Author: Coppini, G.
Format: Article
Language:English
Subjects:
Gabor kernels.
JSRT database.
Artificial neural networks.
Chest radiograms.
Computer aided detection.
Computer-aided diagnosis.
False alarms.
Feedforward neural nets.
Focusing subsystem.
High sensitivity.
Lung nodules.
Nodule detection.
Nonnodule radiographs.
Radiograms.
Radiographs.
System behavior.
System validation.
Two-stage architecture.