Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammography

Ping Zhang, Brijesh Varma, Kuldeep Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

11 Citations (Scopus)

Abstract

Digital mammography is one of the most suitable methods for early detection of breast cancer. It uses digital mammograms to find suspicious areas containing benign and malignant microcalcifications. However, it is very difficult to distinguish benign and malignant microcalcifications. This is reflected in the high percentage of unnecessary biopsies that are performed and many deaths caused by late detection or misdiagnosis. A computer based feature selection and classification system can provide a second opinion to the radiologists in assessment of microcalcifications. The research proposes and investigates a neural-genetic algorithm for feature selection in conjunction with neural and statistical classifiers to classify microcalcification patterns in digital mammograms. The obtained results show that the proposed approach is able to find an appropriate feature subset and neural classifier achieves better results than two statistical models.

Original languageEnglish
Title of host publication2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings
PublisherIEEE Computer Society
Pages1206-1213
Number of pages8
Volume2
DOIs
Publication statusPublished - 2003
Event2003 Congress on Evolutionary Computation, CEC 2003 - Canberra, ACT, Australia
Duration: 8 Dec 200312 Dec 2003

Conference

Conference2003 Congress on Evolutionary Computation, CEC 2003
CountryAustralia
CityCanberra, ACT
Period8/12/0312/12/03

Fingerprint

Digital Mammography
Microcalcifications
Mammography
Feature Selection
Feature extraction
Classifiers
Genetic algorithms
Classifier
Genetic Algorithm
Mammogram
Biopsy
Breast Cancer
Statistical Model
Percentage
Classify
Subset
Statistical Models

Cite this

Zhang, P., Varma, B., & Kumar, K. (2003). Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammography. In 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings (Vol. 2, pp. 1206-1213). [1299806] IEEE Computer Society. https://doi.org/10.1109/CEC.2003.1299806
Zhang, Ping ; Varma, Brijesh ; Kumar, Kuldeep. / Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammography. 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings. Vol. 2 IEEE Computer Society, 2003. pp. 1206-1213
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Zhang, P, Varma, B & Kumar, K 2003, Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammography. in 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings. vol. 2, 1299806, IEEE Computer Society, pp. 1206-1213, 2003 Congress on Evolutionary Computation, CEC 2003, Canberra, ACT, Australia, 8/12/03. https://doi.org/10.1109/CEC.2003.1299806

Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammography. / Zhang, Ping; Varma, Brijesh; Kumar, Kuldeep.

2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings. Vol. 2 IEEE Computer Society, 2003. p. 1206-1213 1299806.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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Zhang P, Varma B, Kumar K. Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammography. In 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings. Vol. 2. IEEE Computer Society. 2003. p. 1206-1213. 1299806 https://doi.org/10.1109/CEC.2003.1299806