Affordable Access

Radial basis functions-simulated annealing classification of mammographic calcifications.

Authors
  • do Espirito Santo, Rafael1
  • de Deus Lopes, Roseli
  • Rangayyan, Rangaraj
  • 1 Departamento de Engenharia de Sistemas Eletrônicos, São Paulo Universidade, Brazil. , (Brazil)
Type
Published Article
Journal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publication Date
Jan 01, 2004
Volume
3
Pages
1644–1647
Identifiers
PMID: 17272017
Source
Medline
License
Unknown

Abstract

We investigated several approaches to classify mammographic calcifications as malignant or benign: a supervised classifier, multi-layer perceptron (MLP), a supervised and unsupervised classifier, a classifier based upon adaptive resonance theory with linear discriminant analysis (ART2LDA), and a classifier based upon nonlinear and combinational optimization techniques: RBF (radial basis functions)-simulated annealing. The classifiers were trained using shape factors extracted from 143 mammographic calcifications (79 malignant and 64 benign), adopting the leave-one-cut procedure. The classifiers' performance was compared in terms of the area under the ROC curve. The best result of 0.97 was obtained with RBF-simulated annealing, which was significantly better than the results obtained with MLP and ART2LDA, which were, respectively, 0.70 and 0.71.

Report this publication

Statistics

Seen <100 times