Automatic recognition of fetal facial standard plane in ultrasound image via fisher vector
Acquisition of the standard plane is the prerequisite of biometric measurement and diagnosis during the ultrasound (US) examination. In this paper, a new algorithm is developed for the automatic recognition of the fetal facial standard planes (FFSPs) such as the axial, coronal, and sagittal planes....
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sg-ntu-dr.10356-1035322022-02-16T16:28:34Z Automatic recognition of fetal facial standard plane in ultrasound image via fisher vector Lei, Baiying Tan, Ee-Leng Chen, Siping Zhuo, Liu Li, Shengli Ni, Dong Wang, Tianfu Maurits, Natasha M. School of Electrical and Electronic Engineering DRNTU::Science::Biological sciences::Human anatomy and physiology Acquisition of the standard plane is the prerequisite of biometric measurement and diagnosis during the ultrasound (US) examination. In this paper, a new algorithm is developed for the automatic recognition of the fetal facial standard planes (FFSPs) such as the axial, coronal, and sagittal planes. Specifically, densely sampled root scale invariant feature transform (RootSIFT) features are extracted and then encoded by Fisher vector (FV). The Fisher network with multi-layer design is also developed to extract spatial information to boost the classification performance. Finally, automatic recognition of the FFSPs is implemented by support vector machine (SVM) classifier based on the stochastic dual coordinate ascent (SDCA) algorithm. Experimental results using our dataset demonstrate that the proposed method achieves an accuracy of 93.27% and a mean average precision (mAP) of 99.19% in recognizing different FFSPs. Furthermore, the comparative analyses reveal the superiority of the proposed method based on FV over the traditional methods. Published version 2015-06-08T07:27:54Z 2019-12-06T21:14:43Z 2015-06-08T07:27:54Z 2019-12-06T21:14:43Z 2015 2015 Journal Article Lei, B., Tan, E.-L., Chen, S., Zhuo, L., Li, S., Ni, D., et al. (2015). Automatic recognition of fetal facial standard plane in ultrasound image via fisher vector. PLOS One, 10(5), e0121838-. 1932-6203 https://hdl.handle.net/10356/103532 http://hdl.handle.net/10220/25840 10.1371/journal.pone.0121838 25933215 en PLOS One © 2015 Lei et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 20 p. application/pdf |
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DRNTU::Science::Biological sciences::Human anatomy and physiology Lei, Baiying Tan, Ee-Leng Chen, Siping Zhuo, Liu Li, Shengli Ni, Dong Wang, Tianfu Automatic recognition of fetal facial standard plane in ultrasound image via fisher vector |
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Acquisition of the standard plane is the prerequisite of biometric measurement and diagnosis during the ultrasound (US) examination. In this paper, a new algorithm is developed for the automatic recognition of the fetal facial standard planes (FFSPs) such as the axial, coronal, and sagittal planes. Specifically, densely sampled root scale invariant feature transform (RootSIFT) features are extracted and then encoded by Fisher vector (FV). The Fisher network with multi-layer design is also developed to extract spatial information to boost the classification performance. Finally, automatic recognition of the FFSPs is implemented by support vector machine (SVM) classifier based on the stochastic dual coordinate ascent (SDCA) algorithm. Experimental results using our dataset demonstrate that the proposed method achieves an accuracy of 93.27% and a mean average precision (mAP) of 99.19% in recognizing different FFSPs. Furthermore, the comparative analyses reveal the superiority of the proposed method based on FV over the traditional methods. |
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Maurits, Natasha M. |
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Maurits, Natasha M. Lei, Baiying Tan, Ee-Leng Chen, Siping Zhuo, Liu Li, Shengli Ni, Dong Wang, Tianfu |
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Article |
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Lei, Baiying Tan, Ee-Leng Chen, Siping Zhuo, Liu Li, Shengli Ni, Dong Wang, Tianfu |
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Lei, Baiying |
title |
Automatic recognition of fetal facial standard plane in ultrasound image via fisher vector |
title_short |
Automatic recognition of fetal facial standard plane in ultrasound image via fisher vector |
title_full |
Automatic recognition of fetal facial standard plane in ultrasound image via fisher vector |
title_fullStr |
Automatic recognition of fetal facial standard plane in ultrasound image via fisher vector |
title_full_unstemmed |
Automatic recognition of fetal facial standard plane in ultrasound image via fisher vector |
title_sort |
automatic recognition of fetal facial standard plane in ultrasound image via fisher vector |
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2015 |
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https://hdl.handle.net/10356/103532 http://hdl.handle.net/10220/25840 |
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