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chengdou568's Projects
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
beamforming
不同波束形成算法仿真，共计30余种
dap_project
Multiple DOA estimation & delay-and-sum beamforming
deeplearntoolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
deepultrasound
Deep Learning RF Interpolation for Compressive Ultrasound Imaging
delay-and-sum-tutorial
A tutorial on the delay and sum beamformer for microphone arrays
matlab_deep_learning
《Matlab计算机视觉与深度学习实战》代码
multi-channel-speech-extraction-using-dnn
A tensorflow implementation of my paper Combining beamforming and deep neural networks for multi-channel speech extraction
nerve-segmentation
Image recognition for nerves from ultrasound images using a sliding window CNN
neural-segmentation
Identification of nerve structures in ultrasound images of the neck, via Convolutional Neural Networks and Unsupervised Learning Techniques
p4-1-fapi
Code for the Multi-angle plane-wave ultrasound contrast imaging method for P4-1
plane_wave_ultrasound_stolt_f-k_migration.github.io
MATLAB, Python, and CUDA Implementations of Plane Wave Ultrasound Imaging with Stolt's f-k Migration (Original MATLAB code and plane wave data came from here: http://www.biomecardio.com/pageshtm/tools/toolsen.htm) [Reference: Garcia D et al. Stolt's f-k migration for plane wave ultrasound imaging. IEEE UFFC, 2013;60:1853-1867.]
stacked_autoencoder
用 MATLAB 实现深度学习网络中的 stacked auto-encoder：使用AE variant（de-noising / sparse / contractive AE）进行预训练，用BP算法进行微调
synaptus
A Matlab/Octave toolbox for synthetic aperture ultrasound imaging
tensorflow_stacked_denoising_autoencoder
Implementation of the stacked denoising autoencoder in Tensorflow
us-beamform-linarray
Example of ultrasound beamforming on simulated RF data using a linear array.
us-rawdata-sda
A Deep Learning Approach to Ultrasound Image Recovery
uskneecnn
Using Convolutional Nerual Networks in Knee Cartilage Segmentation from Ultrasound Images
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