Opto-Electronic Engineering, Volume. 46, Issue 1, 180368(2019)

The grade classification algorithm of breast tumor based on ultrasound RF signals

Tong Ying1 and Yan Yu2,3、*
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(21)

    [1] [1] Zhou S C, Zeng W, Fan Y W, et al. Discussing of using breast grades in ultrasound[J]. Chinese Journal of Ultrasound in Medicine, 2008, 24(6): 19–23.

    [2] [2] Hou X Y, Gao Y, Huang X L, et al. Application value of breast image report data system for ultrasonography in mamary gland[J]. Chinese Journal of Medical Ultrasound (Electronic Edition), 2011, 8(6): 1227–1233.

    [5] [5] Lv W, Zhai Q W, Chu J H, et al. Automated detection of diabetic retinopathy exudates in color fundus images[J]. Opto-Electronic Engineering, 2016, 43(12): 183–192, 199.

    [13] [13] Cheng J Z, Ni D, Chou Y H, et al. Computer-Aided diagnosis with deep learning architecture: Applications to breast lesions in us images and pulmonary nodules in CT scans[J]. Scientific Reports, 2016, 6: 24454.

    [14] [14] Masotti L, Biagi E, Granchi S, et al. Tissue differentiation based on radiofrequency echographic signal local spectral content[C]//Proceedings of the IEEE Symposium on Ultrasonics, 2003, 1: 1030–1033.

    [15] [15] Moradi M, Mahdavi S S, Nir G, et al. Ultrasound RF time series for tissue typing: first in vivo clinical results[J]. Proceedings of SPIE, 2013, 8670: 86701I.

    [16] [16] Moradi M, Abolmaesumi P, Mousavi P. Tissue typing using ultrasound RF time series: experiments with animal tissue samples[J]. Medical Physics, 2010, 37(8): 4401–4413.

    [17] [17] Liu Z D, Luo Y, Lin J L, et al. Quantizing and grading of fatty liver based on ultrasonic RF signals[J]. Journal of Sichuan University (Engineering Science Edition), 2011, 43(S1): 160–164.

    [18] [18] Zhuang S L, Zhou J H, Wang J W, et al. Differential diagnosis of breast lesions with RF time-series signal based on ultrasonic radio-frequency flow[J]. Chinese Journal of Medical Ultrasound (Electronic Edition), 2016, 13(5): 393–397.

    [19] [19] Yan Y, Fang G, Cai R Q, et al. Ultrasound radio-frequency characteristic signal processing for breast lump recognition[J]. China Medical Equipment, 2016, 13(9): 20–22.

    [20] [20] Uniyal N, Eskandari H, Abolmaesumi P, et al. Ultrasound RF time series for classification of breast lesions[J]. IEEE Transactions on Medical Imaging, 2015, 34(2): 652–661.

    [21] [21] Guo K H, Labate D. Optimally sparse multidimensional representation using shearlets[J]. SIAM Journal on Mathematical Analysis, 2007, 39(1): 298–318.

    [22] [22] Gao G R, Xu L P, Feng D Z. Multi-focus image fusion based on non-subsampled shearlet transform[J]. IET Image Processing, 2013, 7(6): 633–639.

    [23] [23] Chang L H. Fusion method based on shearlet transform and sparse representation[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2017, 56(4): 16–19.

    [24] [24] Zhou F, Jia Z H, Yang J, et al. Medical image enhancement method based on improved Gamma correction in shearlet domain[J]. Journal of Optoelectronics·Laser, 2017, 28(5): 566–572.

    [25] [25] Xu C, Chen X, Ji Q Y. Shearlet domian image denoising via sparse coding[J]. Laser Journal, 2017, 38(10): 96–100.

    [26] [26] Easley G R, Labate D, Colonna F. Shearlet-based total variation diffusion for denoising[J]. IEEE Transactions on Image Processing, 2009, 18(2): 260–268.

    [27] [27] Vagharshakyan S, Bregovic R, Gotchev A. Light field reconstruction using Shearlet transform[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, 40(1): 133–147.

    [28] [28] Xu Z L, Deng C Z, Zhang Y S. Shearlet sparsity regularized image reconstruction based on nonlocal self-similarity[J]. Journal of University of Electronic Science and Technology of China, 2016, 45(1): 43–47, 101.

    [29] [29] Zhou S C, Shi J, Zhu J, et al. Shearlet-based texture feature extraction for classification of breast tumor in ultrasound image[J]. Biomedical Signal Processing and Control, 2013, 8(6): 688–696.

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    Tong Ying, Yan Yu. The grade classification algorithm of breast tumor based on ultrasound RF signals[J]. Opto-Electronic Engineering, 2019, 46(1): 180368

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    Paper Information

    Category: Article

    Received: Jul. 11, 2018

    Accepted: --

    Published Online: Jan. 18, 2019

    The Author Email: Yan Yu (yanyucan@126.com)

    DOI:10.12086/oee.2019.180368

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