Double U-Net a Deep Convolution Neural Network for Tongue Body Segmentation for Diseases Diagnosis

Author:

Bhatnagar Vibha,Bansod Prashant P.

Publisher

Springer Nature Singapore

Reference11 articles.

1. Ronneberger O, Fischer P, Brox T (2015) U-Net: convolutional networks for biomedical image segmentation. In: Computer vision and pattern recognition (cs.CV), Cornell University. https://arxiv.org/abs/1505.04597v1

2. Jha D, Riegler MA, Johanseny D, Halvorsen P, Johanseny HD, Met S (2006) Double U-Net: a deep convolutional neural network for medical image segmentation. Electr Eng Syst Sci—Image Video Process, Cornell Univ. https://arxiv.org/abs/2006.04868v2

3. Weng W, Zhu X (2021) INet: convolutional networks for biomedical image segmentation. IEEE Access 9:2021. https://doi.org/10.1109/ACCESS.2021.3053408

4. Li J, Xu B, Ban, Tai P, Ma B (2017) A tongue image segmentation method based on enhanced HSV convolution neural network. In: Luo Y (ed) Springer International Publishing AG 2017, CDVE 2017, LNCS 10451, pp 252–260, 2017. https://doi.org/10.1007/978-3-319-66805-5_32

5. Xue Y, Li X, Wu P, Li J, Wang L, Tong W (2018) Automated tongue segmentation in chinese medicine based on deep learning. Springer Nature Switzerland AG 2018, ICONIP 2018, LNCS 11307, pp 542–553. https://doi.org/10.1007/978-3-030-04239-4_49

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