Multiobjective approach to optimizing compterized detection schemes

Mark A. Anastasio, Matthew A. Kupinski, Robert M. Nishikawa, Maryellen L. Giger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work addresses a multiobjective approach optimizing computer-aided diagnosis (CAD) schemes. The multiobjective optimization problem admits a set of solutions, known as the Pareto-optimal set. The performances of the Pareto-optimal solutions can be interpreted as operating points on an optimal ROC or FROC curve, greater than or equal to the points on any possible ROC or FROC curve for a given dataset and given CAD classifier.

Original languageEnglish (US)
Title of host publicationIEEE Nuclear Science Symposium and Medical Imaging Conference
PublisherIEEE
Pages1879-1883
Number of pages5
ISBN (Print)0780350227
StatePublished - Jan 1 1999
Externally publishedYes
EventProceedings of the 1998 IEEE Nuclear Science Symposium Conference Record - Toronto, Que, Can
Duration: Nov 8 1998Nov 14 1998

Publication series

NameIEEE Nuclear Science Symposium and Medical Imaging Conference
Volume3

Other

OtherProceedings of the 1998 IEEE Nuclear Science Symposium Conference Record
CityToronto, Que, Can
Period11/8/9811/14/98

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Industrial and Manufacturing Engineering

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  • Cite this

    Anastasio, M. A., Kupinski, M. A., Nishikawa, R. M., & Giger, M. L. (1999). Multiobjective approach to optimizing compterized detection schemes. In IEEE Nuclear Science Symposium and Medical Imaging Conference (pp. 1879-1883). (IEEE Nuclear Science Symposium and Medical Imaging Conference; Vol. 3). IEEE.