Patent ID: 7962428
Filing Date: 2011-06-14
Classification: G06K,G06N,G16H

Abstract:
1. A computer-implemented method for training classifiers for Computer-Aided Detection in medical images, said method performed by a computer comprising the steps of: providing an image feature training set {(x minimizing, for each classifier k, a first cost function to initialize an α k 0 associated with each classifier k, wherein the function Φ: R (d) = R is a regularization function and {w i : w i ≧0, ∀i} is a pre-determined weight associated with x i ; for each classifier k, fixing all classifiers except classifier k and minimizing a second cost function to solve for α k c for a counter value c using the training dataset {(x i k , y i )} i=1 l , wherein e ik =1−α k T y i x ik ′ defines a hinge loss of the i th training example {(x ik ′, y i )} induced by classifier k, v 1 and v 2 are weighting factors, C + and C − are corresponding sets of indices for positive and negative classes respectively, and wherein x ik ′ denotes the subset of features in x i used by classifier k; for each classifier k; and comparing J