[Hu Chen et., al] Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN) 1 文章核心思想 低剂量CT重建问题是近年以来在生物医学图像领域有一定研究价值的topic,传统算法包括频率域滤波算法以及迭代重建算法,二者共同的问题是需要对raw data进行运算,相对的复杂度较高。随着深度学习...
0Tags Code README RED_CNN Implementation ofLow-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN) There is several things different from the original paper. The input image patch(64x64 size) is extracted randomly from the 512x512 size image. --> Original : Extrac...
RedCNN Title: Beyond Filters: Compact Feature Map for Portable Deep Model Authors: Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao Email:wangyunhe@pku.edu.cn This code includes the MATLAB file of the compressed network (LeNet.mat) and the demo code (demo.m) for verifying it using MatConv...
RED‐CNNresidual attention moduleWGANPurpose: The low-dose computed tomography (CT) imaging can reduce the damage caused by x-ray radiation to the human ... M Li,Q Du,L Duan,... - 《Medical Physics》 被引量: 0发表: 0年 A densely connected LDCT image denoising network based on dual-...
下图是16年RED的结构,和本文一样遵循先入先出的原则,通过residual learning进行去噪,所以本文的结构就是follow RED。 实验数据包括两部分,一个是AAPM比赛的10位病人的HDCT和LDCT图像,另一个是作者在 the National Biomedical Imaging Archive (NBIA)的165名患者的HDCT上通过正弦图域增加泊松噪声来模拟LDCT。但代码...
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CNN redraws daytime sked.(Cable News Network lineups programming)(Brief article)Learmonth, Michael
Deep Learning-Based Red Blood Cell Classification for Sickle Cell Anemia Diagnosis Using Hybrid CNN-LSTM Model doi:10.18280/ts.410318SICKLE cell anemiaERYTHROCYTESTHRESHOLDING algorithmsMACHINE learningDEEP learningDATA augmentationFETAL hemoglobinFEATURE extractionDEEP brain stimulationA mutation in ...
In addition, the prediction process of overfitting phenomenon in the CNN-Bi-LSTM model was also targeted. The Bayesian-CNN-Bi-LSTM (Bayes-CNN-Bi-LSTM) model was proposed to improve the linoleic acid prediction in red meat through iterative optimization of Gaussian process acceleration function. ...