Self-adaptive asymmetric on-line boosting for detecting anatomical structures

Hong Wu; Nima Tajbakhsh; Wenzhe Xue; Jianming Liang

doi:10.1117/12.912551

23 February 2012 Self-adaptive asymmetric on-line boosting for detecting anatomical structures

Hong Wu, Nima Tajbakhsh, Wenzhe Xue, Jianming Liang

Proceedings Volume 8315, Medical Imaging 2012: Computer-Aided Diagnosis; 831539 (2012) https://doi.org/10.1117/12.912551
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

In this paper, we propose a self-adaptive, asymmetric on-line boosting (SAAOB) method for detecting anatomical structures in CT pulmonary angiography (CTPA). SAAOB is novel in that it exploits a new asymmetric loss criterion with self-adaptability according to the ratio of exposed positive and negative samples and in that it has an advanced rule to update sample's importance weight taking account of both classification result and sample's label. Our presented method is evaluated by detecting three distinct thoracic structures, the carina, the pulmonary trunk and the aortic arch, in both balanced and imbalanced conditions.

Citation Download Citation

Hong Wu, Nima Tajbakhsh, Wenzhe Xue, and Jianming Liang "Self-adaptive asymmetric on-line boosting for detecting anatomical structures", Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 831539 (23 February 2012); https://doi.org/10.1117/12.912551

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