The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jan. 25, 2011
Filed:
Sep. 30, 2008
Anna Jerebko, West Chester, PA (US);
Marcos Salganicoff, Bala Cynwyd, PA (US);
Maneesh Dewan, West Chester, PA (US);
Harald Steck, Phoenixville, PA (US);
Anna Jerebko, West Chester, PA (US);
Marcos Salganicoff, Bala Cynwyd, PA (US);
Maneesh Dewan, West Chester, PA (US);
Harald Steck, Phoenixville, PA (US);
Siemens Medical Solutions USA, Inc., Malvern, PA (US);
Abstract
According to an aspect of the invention, a method for training a classifier for classifying candidate regions in computer aided diagnosis of digital medical images includes providing a training set of annotated images, each image including one or more candidate regions that have been identified as suspicious, deriving a set of descriptive feature vectors, where each candidate region is associated with a feature vector. A subset of the features are conditionally dependent, and the remaining features are conditionally independent. The conditionally independent features are used to train a naïve Bayes classifier that classifies the candidate regions as lesion or non-lesion. A joint probability distribution that models the conditionally dependent features, and a prior-odds probability ratio of a candidate region being associated with a lesion are determined from the training images. A new classifier is formed from the naïve Bayes classifier, the joint probability distribution, and the prior-odds probability ratio.