2-D hybrid transform and feature extracting algorithm of fatty liver ultrasonic images
暂无分享,去创建一个
[1] W. J. Lorenz,et al. Diagnostic accuracy of computerized B‐scan texture analysis and conventional ultrasonography in diffuse parenchymal and malignant liver disease , 1985, Journal of clinical ultrasound : JCU.
[2] Shuang Gao,et al. A comparison of two similarity measures in intensity-based ultrasound image registration , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).
[3] Torfinn Taxt,et al. ULTRASOUND ATTENUATION IMAGING , 2022 .
[4] Yang Xiao,et al. 2-D DFT-DWT Application to Multidimensional Signal Processing , 2006, 2006 8th international Conference on Signal Processing.
[5] Farrokh Marvasti,et al. Embolic Doppler ultrasound signal detection using discrete wavelet transform , 2004, IEEE Transactions on Information Technology in Biomedicine.
[6] M. Lee,et al. Two-Dimensional Hybrid Transform (DCT-DWT) for 2-D Signal Processing , 2006, 2006 8th international Conference on Signal Processing.
[7] Yang Xiao,et al. 2-D Hybrid Wavelet-Fourier Transformation , 2006, 2006 8th international Conference on Signal Processing.
[8] Yung-Chang Chen,et al. Ultrasonic Liver Tissues Classification by Fractal Feature Vector Based on M-band Wavelet Transform , 2001, IEEE Trans. Medical Imaging.
[9] Pengfei Shi,et al. Ultrasonic Liver Discrimination Using 2-D Phase Congruency , 2006, IEEE Transactions on Biomedical Engineering.
[10] Roman Kuc,et al. Diffraction Effects in Reflected Ultrasound Spectral Estimates , 1984, IEEE Transactions on Biomedical Engineering.
[11] Yang Xiao,et al. A new method for contour correspondence based on the internal information in intensity-based ultrasound image registration , 2004, 2004 IEEE Region 10 Conference TENCON 2004..
[12] Matthew O'Donnell,et al. Effects of Diffraction on Measurements of the Frequency-Dependent Ultrasonic Attenuation , 1983, IEEE Transactions on Biomedical Engineering.