Real-Time Ultrasound Image Despeckling Using Mixed-Attention Mechanism Based Residual UNet
暂无分享,去创建一个
[1] Yaxing Wang,et al. S-UNet: A Bridge-Style U-Net Framework With a Saliency Mechanism for Retinal Vessel Segmentation , 2019, IEEE Access.
[2] Jian Sun,et al. Identity Mappings in Deep Residual Networks , 2016, ECCV.
[3] Shilian Zheng,et al. Fusion Methods for CNN-Based Automatic Modulation Classification , 2019, IEEE Access.
[4] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[5] Olaf Ronneberger,et al. Invited Talk: U-Net Convolutional Networks for Biomedical Image Segmentation , 2017, Bildverarbeitung für die Medizin.
[6] Michael J. Black,et al. Fields of Experts , 2009, International Journal of Computer Vision.
[7] Basit Raza,et al. Multi-View Feature Fusion Based Four Views Model for Mammogram Classification Using Convolutional Neural Network , 2019, IEEE Access.
[8] Vishal M. Patel,et al. SAR Image Despeckling Using a Convolutional Neural Network , 2017, IEEE Signal Processing Letters.
[9] Yang Zhao,et al. Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000 , 2018 .
[10] C. Lindsay Anderson,et al. A New Wavelet Denoising Method for Selecting Decomposition Levels and Noise Thresholds , 2016, IEEE Access.
[11] Tong Fang,et al. Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[12] Danni Ai,et al. Local statistics and non-local mean filter for speckle noise reduction in medical ultrasound image , 2016, Neurocomputing.
[13] Alexander A. Sawchuk,et al. Adaptive restoration of images with speckle , 1987, IEEE Trans. Acoust. Speech Signal Process..
[14] Maciej Wojtkowski,et al. Efficient Reduction of Speckle Noise in Optical Coherence Tomography References and Links , 2022 .
[15] Davide Cozzolino,et al. SAR image despeckling through convolutional neural networks , 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
[16] Nelson D. A. Mascarenhas,et al. Ultrasound Image Despeckling Using Stochastic Distance-Based BM3D , 2017, IEEE Transactions on Image Processing.
[17] Pierrick Coupé,et al. Nonlocal Means-Based Speckle Filtering for Ultrasound Images , 2009, IEEE Transactions on Image Processing.
[18] Victor S. Frost,et al. A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Xinjian Chen,et al. DeSpecNet: a CNN-based method for speckle reduction in retinal optical coherence tomography images , 2019, Physics in medicine and biology.
[20] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[21] Sergey Ioffe,et al. Rethinking the Inception Architecture for Computer Vision , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Honglak Lee,et al. Unsupervised feature learning for audio classification using convolutional deep belief networks , 2009, NIPS.
[23] Larry S. Davis,et al. Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation , 2018, ArXiv.
[24] Francisco Javier Díaz Pernas,et al. Wavelet‐Based Denoising for Traffic Volume Time Series Forecasting with Self‐Organizing Neural Networks , 2010, Comput. Aided Civ. Infrastructure Eng..
[25] Hongyu Wang,et al. End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks , 2016, IEEE Access.
[26] Francesco Visin,et al. A guide to convolution arithmetic for deep learning , 2016, ArXiv.
[27] Stephen Lin,et al. GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).
[28] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Abhinav Gupta,et al. Non-local Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[30] Bingliang Hu,et al. Attention Mask R-CNN for Ship Detection and Segmentation From Remote Sensing Images , 2020, IEEE Access.
[31] Scott T. Acton,et al. Ultrasound Despeckling for Contrast Enhancement , 2010, IEEE Transactions on Image Processing.
[32] Haoran Zhang,et al. Cascaded Conditional Generative Adversarial Networks With Multi-Scale Attention Fusion for Automated Bi-Ventricle Segmentation in Cardiac MRI , 2019, IEEE Access.
[33] Xin Luo,et al. Wavelet Denoising Algorithm Based on NDOA Compressed Sensing for Fluorescence Image of Microarray , 2019, IEEE Access.
[34] Lei Zhang,et al. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising , 2016, IEEE Transactions on Image Processing.
[35] Mingyue Ding,et al. PCANet based nonlocal means method for speckle noise removal in ultrasound images , 2018, PloS one.
[36] Yoshua Bengio,et al. How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation , 2014, ArXiv.
[37] Jean-Michel Morel,et al. A non-local algorithm for image denoising , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[38] M. Grasserbauer,et al. Wavelet denoising of Gaussian peaks: A comparative study , 1996 .
[39] Hemant D. Tagare,et al. Evaluation of Four Probability Distribution Models for Speckle in Clinical Cardiac Ultrasound Images , 2006, IEEE Transactions on Medical Imaging.
[40] Wei Shi,et al. Dilated convolution neural network with LeakyReLU for environmental sound classification , 2017, 2017 22nd International Conference on Digital Signal Processing (DSP).
[41] Qingjie Liu,et al. Road Extraction by Deep Residual U-Net , 2017, IEEE Geoscience and Remote Sensing Letters.
[42] Wangmeng Zuo,et al. Learning Deep CNN Denoiser Prior for Image Restoration , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Scott T. Acton,et al. Speckle reducing anisotropic diffusion , 2002, IEEE Trans. Image Process..