
Proceedings Paper
Image analysis of placental issues using three-dimensional ultrasound and color power Doppler based on Support Vector MachineFormat | Member Price | Non-Member Price |
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Paper Abstract
With the development of medical science, three-dimensional ultrasound and color power Doppler tomography shooting
placenta is widely used. To determine whether the fetus's development is abnormal or not is mainly through the analysis
of the capillary's distribution of the obtained images which are shot by the Doppler scanner. In this classification
process, we will adopt Support Vector Machine classifier. SVM achieves substantial improvements over the statistical
learning methods and behaves robustly over a variety of different learning tasks. Furthermore, it is fully automatic,
eliminating the need for manual parameter tuning and can solve the small sample problem wonderfully well. So SVM
classifier is valid and reliable in the identification of placentas and is more accurate with the lower error rate.
Paper Details
Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74971T (30 October 2009); doi: 10.1117/12.832404
Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)
PDF: 6 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74971T (30 October 2009); doi: 10.1117/12.832404
Show Author Affiliations
Qi Wang, Huazhong Univ. of Science and Technology (China)
Diyun Xu, Huazhong Univ. of Science and Technology (China)
Diyun Xu, Huazhong Univ. of Science and Technology (China)
Jianguo Liu, Huazhong Univ. of Science and Technology (China)
Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)
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