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An implementation
of scatter search to train neural networks for brain lesion
recognition
Jeffrey Larson and Francis Newman
Vol. 4 (2011), No. 3, 203–211
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Abstract |
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In recent years, the use of computer aided diagnosis (CAD) has achieved acceptance in mammography and other areas. To facilitate automated detection of brain abnormalities, we propose a novel method for quickly training neural networks to classify brain images. Our method outperforms traditional neural network training methods by achieving a better balance between classification accuracy and training time. |
Keywords
computer-aided diagnosis, scatter search, artificial neural
networks, health care, diagnosis
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Mathematical Subject Classification 2000
Primary: 90C59, 92B20
Secondary: 90C90, 92C50
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Milestones
Received: 16 February 2010
Revised: 4 October 2010
Accepted: 11 November 2011
Published: 13 March 2012
Communicated by Kenneth S. Berenhaut
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Authors |
| Jeffrey Larson | |
| University of Colorado Denver Department of Mathematical and Statistical Sciences Campus Box 170 P.O. Box 173364 Denver, CO 80217-3364 United States |
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| Francis Newman | |
| University of Colorado Denver Department of Radiation Oncology 1665 Aurora Court Box F-706 Aurora, CO 80045 United States |
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