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Support vector machines for candidate nodules classification
2005
Neurocomputing
Image processing techniques have proved to be effective for the improvement of radiologists' diagnosis of lung nodules. In this paper, we present a computerized system aimed at lung nodules detection; it employs two different multi-scale schemes to identify the lung field and then extract a set of candidate regions with a high sensitivity ratio. The main focus of this work is the classification of the elements in the very unbalanced candidates set, by the use of support vector machines (SVMs).
doi:10.1016/j.neucom.2005.03.005
fatcat:2hmn6qrlszdwnl6bwba7ahca6q