1. Field of the Invention
The present disclosure relates to image processing, and more particularly to a system and method for detecting an object in an image while eliminating false positive detections.
2. Description of Related Art
The pulmonary embolism (PE) is defined as a thrombus, which is generally recognized as dark regions within enhanced pulmonary arteries in computed tomography angiography (CTA) images. For PE detection, it is difficult to distinguish PE from various PE look-alikes (false positives) including flow voids in veins and arteries, lymphoid tissues, streak artifacts near superior vena cava, partial volume artifacts at vascular bifurcations, etc.
Therefore, a need exists for a system and method for object detection including a feature based approach for automatically removing the false positives, while preserving the true positives.