Patent ID: 7986827
Filing Date: 2011-07-26
Classification: G06K,G06T

Abstract:
1. A computer-implemented method of training a classifier for computer aided detection of digitized medical images, comprising the steps of: providing a plurality of bags, each bag containing a plurality of feature samples of a single region-of-interest in said medical image, wherein said feature samples include texture, shape, intensity, and contrast of said region-of-interest, wherein each region-of-interest has been labeled as either malignant or healthy; and training said classifier on said plurality of bags of feature samples, subject to the constraint that at least one point in a convex hull of each bag, corresponding to said feature sample, is correctly classified according to the label of the associated region-of-interest, wherein said classifier is trained on a computer, and wherein said classifier is trained by minimizing the expression vE(ξ)+Φ(ω,η)+Ψ(λ) over arguments (ξ,ω,η,λ)εR subject to the conditions wherein ξ={ξ