Using generalized additive models for construction of nonlinear classifiers in computer-aided diagnosis systems.

Using generalized additive models for construction of nonlinear classifiers in computer-aided diagnosis systems.

Several investigators have pointed out the possibility of using computer-aided diagnosis (CAD) schemes, as second readers, to help radiologists in the interpretation of images. One of the most important aspects to be considered when the diagnostic imaging systems are analyzed is the evaluation of th...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE Transactions on information technology in biomedicine 10, 2 (2006).
1. Verfasser: Lado, M.J
Format: Artikel
Sprache:English
Schlagworte:
ROC analysis.
Clustered microcalcifications detection.
Computer-aided diagnosis systems.
Diagnostic performance.
Feature analysis.
Generalized additive models.
Lesion classification.
Linear discriminant analysis.
Neural networks.
Radiologists.
Receiver operating characteristic curves.
Statistical methods.