Blood Detection In IVUS Longitudinal Cuts Using AdaBoost With a Novel Feature Stability Criterion 1

Abstract

Abstract. Lumen volume variations is of great interest by the physicians given the more it increases with a treatment the less probability of infarction. In this paper we present a fast and efficient method to detect the lumen borders in longitudinal cuts of IVUS sequences using an AdaBoost classifier trained with several loca