Cone-beam computed tomography noise reduction method based on U-Net with convolutional block attention module in proton therapy

those is the corresponding data of "Cone-beam computed tomography noise reduction method based on U-Net with convolutional block attention module in proton therapy".This data consist of network weight, analysis matlab data of CBAM-N-Net, and include the original picture of the paper. Network weight is pytorch structure that can directly be imported to generate whole network structure. And the analysis mat data is CT,CBCT,SCT data(U-Net, CBAM-U-Net) for dose calculation analysis which be saved as matlab files and can directly be imported in matRad. The matRad zip file is also uploaded in the files that need to be extracted in the matlab code list.

本数据集为《面向质子治疗的融合卷积块注意力模块（Convolutional Block Attention Module，CBAM）的U-Net锥束计算机断层扫描（Cone-beam Computed Tomography，CBCT）降噪方法》一文的配套数据。本数据集包含网络权重文件、CBAM-N-Net的Matlab分析数据以及该论文的原图素材。该网络权重基于PyTorch框架构建，可直接导入以完整复现目标网络结构。本次提供的Matlab格式分析数据涵盖用于剂量计算分析的CT、CBCT及SCT数据（分别对应U-Net、CBAM-U-Net模型），该数据以Matlab文件格式存储，可直接导入matRad工具开展分析。文件包中还上传了matRad压缩包，需在Matlab代码清单中完成解压操作。