Larson, Jeffrey; Newman, Francis An implementation of scatter search to train neural networks for brain lesion recognition. (English) Zbl 1247.90295 Involve 4, No. 3, 203-211 (2011). Summary: 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. MSC: 90C59 Approximation methods and heuristics in mathematical programming 92B20 Neural networks for/in biological studies, artificial life and related topics 90C90 Applications of mathematical programming 92C50 Medical applications (general) Keywords:computer-aided diagnosis; scatter search; artificial neural networks; health care; diagnosis PDFBibTeX XMLCite \textit{J. Larson} and \textit{F. Newman}, Involve 4, No. 3, 203--211 (2011; Zbl 1247.90295) Full Text: DOI Link