sal-Deep-Beamformer-for-Robust-Ultrasound-Imaging
所属分类：生物医药技术
开发工具：Cuda
文件大小：0KB
下载次数：0
上传日期：2019-01-15 03:27:50
上 传 者：
sh-1993
说明： “用于稳健超声成像的通用深度波束形成器”的计算机代码和数据集，
(Computer code and dataset for "Universal Deep Beamformer for Robust Ultrasound Imaging",)
文件列表:
COSMOS_BF.m (1328, 2019-01-14)
DeepBF_Test.m (4479, 2019-01-14)
IQ2Bmode.m (624, 2019-01-14)
Results/ (0, 2019-01-14)
Results/DAS_16.bmp (197686, 2019-01-14)
Results/DAS_24.bmp (197686, 2019-01-14)
Results/DAS_32.bmp (197686, 2019-01-14)
Results/DAS_4.bmp (197686, 2019-01-14)
Results/DAS_64.bmp (197686, 2019-01-14)
Results/DAS_8.bmp (197686, 2019-01-14)
Results/DeepBF_16.bmp (197686, 2019-01-14)
Results/DeepBF_24.bmp (197686, 2019-01-14)
Results/DeepBF_32.bmp (197686, 2019-01-14)
Results/DeepBF_4.bmp (197686, 2019-01-14)
Results/DeepBF_64.bmp (197686, 2019-01-14)
Results/DeepBF_8.bmp (197686, 2019-01-14)
Training_CNN.m (1320, 2019-01-14)
addLayer.m (8928, 2019-01-14)
cnn_display.m (5353, 2019-01-14)
cnn_sparse_view_init_multi.m (16191, 2019-01-14)
cnn_sparse_view_train.m (3713, 2019-01-14)
cnn_train.m (26814, 2019-01-14)
data/ (0, 2019-01-14)
data/DATASET8.mat (69286643, 2019-01-14)
data/Multi_CH_vDSR.mat (258629, 2019-01-14)
data/cnn_sparse_view_init_multi_normal_input64/ (0, 2019-01-14)
data/cnn_sparse_view_init_multi_normal_input64/net-epoch-100.mat (5363637, 2019-01-14)
data/cnn_sparse_view_init_multi_normal_input64/net-epoch-200.mat (5369418, 2019-01-14)
data/rec_train_16_DATASET8.mat (1489521, 2019-01-14)
data/rec_train_24_DATASET8.mat (1489421, 2019-01-14)
data/rec_train_32_DATASET8.mat (1490092, 2019-01-14)
data/rec_train_4_DATASET8.mat (1486013, 2019-01-14)
data/rec_train_64_DATASET8.mat (1489387, 2019-01-14)
data/rec_train_8_DATASET8.mat (1486859, 2019-01-14)
matlab/ (0, 2019-01-14)
matlab/+dagnn/ (0, 2019-01-14)
matlab/+dagnn/@DagNN/ (0, 2019-01-14)
matlab/+dagnn/@DagNN/DagNN.m (14258, 2019-01-14)
matlab/+dagnn/@DagNN/addLayer.m (1260, 2019-01-14)
... ...
# Universal-Deep-Beamformer-for-Robust-Ultrasound-Imaging
Computer code and dataset for "Universal Deep Beamformer for Robust Ultrasound Imaging"
Paper
===============
* Shujaat Khan, Jaeyoung Huh, and Jong Chul Ye. "Universal Deep Beamformer for Variable Rate Ultrasound Imaging." https://arxiv.org/abs/1901.01706.
Implementation
===============
* MatConvNet (matconvnet-1.0-beta24)
* Please run the matconvnet-1.0-beta24/matlab/vl_compilenn.m file to compile matconvnet.
* There is instruction on "http://www.vlfeat.org/matconvnet/mfiles/vl_compilenn/"
* Please run the installation setup (install.m) and run some training examples.
Trained network
===============
* Trained network for 'Universal Deep Beamformer CNN' is uploaded.
* Use 100th or 200th epoch weights for validation. (Results in paper were generated using 200th epoch's weights)
Test data
===============
* A sample test data is placed in 'data\' folder.
* The dimensions of data are as follows
-- Test_data = 3x96x64x2048 (input-planes x scanlines x channels x depth)
To perform a test using proposed algorithm
-> Run 'DeepBF_Test.m
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