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

Hong Wu; Nima Tajbakhsh; Wenzhe Xue; Jianming Liang

doi:10.1117/12.912551

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

Hong Wu, Nima Tajbakhsh, Wenzhe Xue, Jianming Liang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Medical Imaging 2012
Subtitle of host publication	Computer-Aided Diagnosis
DOIs	https://doi.org/10.1117/12.912551
State	Published - Dec 1 2012
Event	Medical Imaging 2012: Computer-Aided Diagnosis - San Diego, CA, United States Duration: Feb 7 2012 → Feb 9 2012

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	8315
ISSN (Print)	1605-7422

Other

Other	Medical Imaging 2012: Computer-Aided Diagnosis
Country/Territory	United States
City	San Diego, CA
Period	2/7/12 → 2/9/12

Keywords

And aortic arch
Asymmetric loss criterion
Balanced and imbalanced conditions
Carina
Pulmonary trunk
Self-Adaptive Asymmetric On-line Boosting (SAAOB)
Update sample's importance weight

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Biomaterials
Atomic and Molecular Physics, and Optics
Radiology Nuclear Medicine and imaging

Access to Document

10.1117/12.912551

Cite this

Wu, H, Tajbakhsh, N, Xue, W & Liang, J 2012, Self-adaptive asymmetric on-line boosting for detecting anatomical structures. in Medical Imaging 2012: Computer-Aided Diagnosis., 831539, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 8315, Medical Imaging 2012: Computer-Aided Diagnosis, San Diego, CA, United States, 2/7/12. https://doi.org/10.1117/12.912551

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title = "Self-adaptive asymmetric on-line boosting for detecting anatomical structures",

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.",

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year = "2012",

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doi = "10.1117/12.912551",

language = "English (US)",

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KW - Asymmetric loss criterion

KW - Balanced and imbalanced conditions

KW - Carina

KW - Pulmonary trunk

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KW - Update sample's importance weight

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Y2 - 7 February 2012 through 9 February 2012

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

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

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