METHOD AND SYSTEM FOR AUTOMATED DETECTION OF CLUSTERED MICROCALCIFICATIONS FROM DIGITAL MAMMOGRAMS

摘要

A method, a system for detecting, and displaying clustered micro-calcification in a digital mammogram wherein a single digital mammogram (100) is first automatically cropped (200) to a breast area sub-image which is then processed by means of an optimized difference of a Gaussian filter to enhance the appearance of potential micro-calcification in the sub-image. The potential micro-calcification is threshold, clusters are detected (300), features are computed for the detected clusters, and the clusters are classified (400) as either suspicious or not suspicious by means of a neural network. The locations in the original digital mammogram of the suspicious detected clustered micro-calcification are indicated. The results of the system are optimally combined with a radiologist's observation of the original mammogram by combining the observations with the results after the radiologist has first accepted or rejected individual detections reported by the system.