| 摘要 |
<p>A method for training a classifier for use in a computer aided detection system includes providing (41) a training set of images acquired from a plurality of patients, each said image including one or more candidate regions that have been identified (42) as suspicious by a candidate generation step of a computer aided detection system, and wherein each said image has been manually annotated to identify lesions, using said training set to train (44) a classifier adapted for identifying a candidate region as a lesion or non-lesion, clustering (46) candidate regions having similar features for each patient individually, and modifying (47) said trained classifier decision boundary with an additional classification step incorporating said individual candidate region clustering</p> |
