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Optimizing feature selection across a multimodality database in computerized classification of breast lesions

Publication ,  Journal Article
Horsch, K; Ceballos, AF; Giger, ML; Bonta, I; Huo, Z; Vyborny, CJ; Hendrick, E; Lan, L
Published in: Proceedings of SPIE - The International Society for Optical Engineering
January 1, 2002

Linear step-wise feature selection is performed for computerized analysis methods on a set of mammography features using a database of mammography cases, a set of ultrasound features using a database of ultrasound cases, and a set of mammography and sonography features using a multi-modality database of lesions with both mammograms and sonograms. The large mammography and sonography databases were randomly split 20 times into three subdatabases for feature selection, classifier training and independent validation. The average validation Az value over the 20 random splits for the mammography database was 0.82 ± 0.04 and for the sonography database was 0.85 ± 0.03. The average consistency feature selection Az value for the mammography and sonography databases were 0.87 ± 0.02 and 0.88 ± 0.02, respectively. For the mulit-modality database, the consistency feature selection Az value was 0.93. © 2002 SPIE · 1605-7422/02/$15.00.

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Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

ISSN

0277-786X

Publication Date

January 1, 2002

Volume

4684 II

Start / End Page

986 / 992
 

Citation

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Horsch, K., Ceballos, A. F., Giger, M. L., Bonta, I., Huo, Z., Vyborny, C. J., … Lan, L. (2002). Optimizing feature selection across a multimodality database in computerized classification of breast lesions. Proceedings of SPIE - The International Society for Optical Engineering, 4684 II, 986–992. https://doi.org/10.1117/12.467053
Horsch, K., A. F. Ceballos, M. L. Giger, I. Bonta, Z. Huo, C. J. Vyborny, E. Hendrick, and L. Lan. “Optimizing feature selection across a multimodality database in computerized classification of breast lesions.” Proceedings of SPIE - The International Society for Optical Engineering 4684 II (January 1, 2002): 986–92. https://doi.org/10.1117/12.467053.
Horsch K, Ceballos AF, Giger ML, Bonta I, Huo Z, Vyborny CJ, et al. Optimizing feature selection across a multimodality database in computerized classification of breast lesions. Proceedings of SPIE - The International Society for Optical Engineering. 2002 Jan 1;4684 II:986–92.
Horsch, K., et al. “Optimizing feature selection across a multimodality database in computerized classification of breast lesions.” Proceedings of SPIE - The International Society for Optical Engineering, vol. 4684 II, Jan. 2002, pp. 986–92. Scopus, doi:10.1117/12.467053.
Horsch K, Ceballos AF, Giger ML, Bonta I, Huo Z, Vyborny CJ, Hendrick E, Lan L. Optimizing feature selection across a multimodality database in computerized classification of breast lesions. Proceedings of SPIE - The International Society for Optical Engineering. 2002 Jan 1;4684 II:986–992.

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

ISSN

0277-786X

Publication Date

January 1, 2002

Volume

4684 II

Start / End Page

986 / 992