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Proceedings Paper

Self-adaptive asymmetric on-line boosting for detecting anatomical structures
Author(s): Hong Wu; Nima Tajbakhsh; Wenzhe Xue; Jianming Liang
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Paper 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.

Paper Details

Date Published: 23 February 2012
PDF: 7 pages
Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 831539 (23 February 2012); doi: 10.1117/12.912551
Show Author Affiliations
Hong Wu, Arizona State Univ. (United States)
Nima Tajbakhsh, Arizona State Univ. (United States)
Wenzhe Xue, Arizona State Univ. (United States)
Jianming Liang, Arizona State Univ. (United States)


Published in SPIE Proceedings Vol. 8315:
Medical Imaging 2012: Computer-Aided Diagnosis
Bram van Ginneken; Carol L. Novak, Editor(s)

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