Chinese Journal of Lasers, Volume. 44, Issue 5, 504006(2017)
Coronary Lesion Detection Method Based on One-Class Support Vector Machine
[1] [1] Chen Weiwei, Gao Runlin, Liu Lisheng, et al. Outline of 《China cardiovascular disease report 2015》[J]. Chinese Circulation Journal, 2016, 31(6): 617-622.
[2] [2] Maurovich-Horvat P, Ferencik M, Voros S, et al. Comprehensive plaque assessment by coronary CT angiography[J]. Nature Reviews Cardiology, 2014, 11(7): 390-402.
[3] [3] Chen Xiangting, Zhang Fan, Zhang Yifan, et al. Research on stenosis detection and quantification of coronary artery in CT angiography[J]. Laser & Optoelectronics Progress, 2015, 52(8): 080006.
[4] [4] Li Lei, Han Yu, Xi Xiaoqi, et al. Single-slice-rebinning reconstruction algorithm with one-sided two helical scans for X-ray CT system[J]. Acta Optica Sinica, 2016, 36(9): 0934001.
[5] [5] Kang D, Slomka P J, Nakazato R, et al. Automated knowledge-based detection of nonobstructive and obstructive arterial lesions from coronary CT angiography[J]. Medical Physics, 2013, 40(4): 041912.
[6] [6] Tessmann M, Vega-Higuera F, Fritz D, et al. Multi-scale feature extraction for learning-based classification of coronary artery stenosis[C]. SPIE, 2009, 7260: 726002.
[7] [7] Freund Y, Schapire R E. A decision-theoretic generalization of on-line learning and an application to boosting[J]. Journal of Computer & System Sciences, 1997, 55(1): 119-139.
[8] [8] Zuluaga M A, Magnin I E, Hernández H M, et al. Automatic detection of abnormal vascular cross-sections based on density level detection and support vector machines[J]. International Journal of Computer Assisted Radiology and Surgery, 2011, 6(2): 163-74.
[9] [9] Zuluaga M A, Hoyos M H, Orkisz M. Feature selection based on empirical-risk function to detect lesions in vascular computed tomography[J]. IRBM, 2014, 35(5): 244-254.
[10] [10] Zuluaga M A, Hush D, Leyton E J F D, et al. Learning from only positive and unlabeled data to detect lesions in vascular CT images[C]. International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer-Verlag, 2011: 9-16.
[11] [11] Li Junwei, Chen Xiaodong, Jia Zhongwei, et al. A coronary artery lumen segmentation algorithm based on ray casting[J]. Chinese J Lasers, 2015, 42(8): 0804002.
[13] [13] Lesage D,Angelini E D, Bloch I, et al. A review of 3D vessel lumen segmentation techniques: models, features and extraction schemes[J]. Medical Image Analysis, 2009, 13(6): 819-845.
[14] [14] Zuluaga M A, Leyton E J F D, Hoyos M H, et al. Feature selection for SVM-based vascular anomaly detection[C]. Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - International Miccai Workshop, Mcv. 2010: 141-152.
[15] [15] Xin Zhu, Zhou Yajian. Study and improvement of mutual information for feature selection in text categorization[J]. Journal of Computer Applications, 2013, 33(s2): 116-118.
[16] [16] Yao Xu, Wang Xiaodan, Zhang Yuxi, et al. Summary of feature selection algorithms[J]. Control and Decision, 2012, 27(2): 161-166.
[17] [17] Battiti R. Using mutual information for selecting features in supervised neural net learning[J]. IEEE Transactions on Neural Networks, 1994, 5(4): 537-550.
[18] [18] Wang Hao, Sun Hongbin, Zhang Boming. PG-HMI: mutual information based feature selection method[J]. Pattern Recognition and Artificial Intelligence, 2007, 20(1): 55-63.
[19] [19] Schlkopf B, Smola A, Williamson R, et al. New support vector algorithms[J]. Neural Computation, 2000, 12(5): 1207-1245.
[20] [20] Cortes C, Vapnik V. Support vector network[J]. Machine Learning, 1995, 20(3): 273-297.
[21] [21] Avila L S, Barre S, Blue R, et al. The VTK user′s guide[M]. Clifton Park: Kitware, 2010.
[22] [22] Chen Y W, Lin C J. Combining SVMs with various feature selection strategies[J]. Studies in Fuzziness & Soft Computing, 2006, 207: 315-324.
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Zhao Cong, Chen Xiaodong, Zhang Jiachen, Wang Yi, Jia Zhongwei, Chen Xiangzhi, Yu Daoyin. Coronary Lesion Detection Method Based on One-Class Support Vector Machine[J]. Chinese Journal of Lasers, 2017, 44(5): 504006
Category: measurement and metrology
Received: Jan. 18, 2017
Accepted: --
Published Online: May. 3, 2017
The Author Email: Cong Zhao (zhaocong@tju.edu.cn)