Optical Technique, Volume. 48, Issue 5, 627(2022)

Improved U-net++ Network for detection of intestinal endometriosis based on ultrasound image

GUO Yijie1, YE Ping1, SUN Jingwen2, SHI Siyuan2, SHI Pan3, and CHANG Zhaohua1,2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(10)

    [4] [4] Yang, M, Liu, M, Chen, Y, et al. Diagnostic efficacy of ultrasound combined with magnetic resonance imaging in diagnosis of deep pelvic endometriosis under deep learning[J]. The Journal of Supercomputing,2021,77(7):7598-7619.

    [5] [5] Zhang Y Z, Wang Z H, Zhang J, et al. Deep learning model for classifying endometrial lesions[J]. Journal of Translational Medicine,2021,19(1):1-13.

    [6] [6] Dong H C, Dong H K, Yu M H, et al. Using deep learning with convolutional neural network approach to identify the invasion depth of endometrial cancer in myometrium using mr images: a pilot study[J]. International Journal of Environmental Research and Public Health,2020,17(16):5993.

    [7] [7] Ronneberger O, Fischer P, Brox T. U-net: Convolutional networks for biomedical image segmentation[C]∥International Conference on Medical Image Computing and Computer-assisted Intervention. Springer, Cham,2015:234-241.

    [8] [8] Zhou Z, Siddiquee M M R, Tajbakhsh N, et al. A Nested U-Net architecture for medical image segmentation[J]. arXiv preprint arXiv:1807.10165.

    [9] [9] Xie S, Girshick R, Dollár P, et al. Aggregated residual transformations for deep neural networks[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2017: 1492-1500.

    [13] [13] Bahdanau D, Cho K, Bengio Y. Neural machine translation by jointly learning to align and translate[J]. arXiv preprint arXiv:1409.0473,2014.

    [14] [14] Oktay O, Schlemper J, Folgoc L L, et al. Attention u-net: Learning where to look for the pancreas[J]. arXiv preprint arXiv:1804.03999,2018.

    [15] [15] Wang C, He Y, Liu Y, et al. Sclerasegnet: an improved u-net model with attention for accurate sclera segmentation[C]∥2019 International Conference on Biometrics (ICB):IEEE,2019:1-8.

    [16] [16] Ho J, Kalchbrenner N, Weissenborn D, et al. Axial attention in multidimensional transformers[J]. arXiv preprint arXiv:1912.12180,2019.

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    GUO Yijie, YE Ping, SUN Jingwen, SHI Siyuan, SHI Pan, CHANG Zhaohua. Improved U-net++ Network for detection of intestinal endometriosis based on ultrasound image[J]. Optical Technique, 2022, 48(5): 627

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    Paper Information

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    Received: Jan. 13, 2022

    Accepted: --

    Published Online: Jan. 20, 2023

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    DOI:

    CSTR:32186.14.

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