Researchers from Missouri State University detail findings in experimental medicine

摘要

2011 JAN 3 - (VerticalNews.com) -- Scientists discuss in 'Novel features forrnautomated cell phenotype image classification' new findings in experimental medicine.rnAccording to a study from the United States, "The most common method of handling automatedrncell phenotype image classification is to determine a common set of optimal features and thenrnapply standard machine-learning algorithms to classify them. In this chapter, we use advancedrnmethods for determining a set of optimized features for training an ensemble using randomrnsubspace with a set of Levenberg-Marquardt neural networks."