TorchIO:用于加载、扩充和写入3D医学图像的PyTorch工具-python

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TorchIO:用于加载、扩充和写入3D医学图像的PyTorch工具 TorchIO torchio 是一个 Python 包,其中包含一组工具,可在用 PyTorch 编写的深度学习应用程序中高效读取、采样和写入 3D 医学图像,包括用于数据增强和预处理的强度和空间变换。 变换包括典型的计算机视觉操作,例如随机仿射变换,以及特定领域的操作,例如模拟由于 MRI 磁场不均匀性或 k 空间运动伪影引起的强度伪影。 这个包受到 NiftyNet 的极大启发。 索引安装特征数据处理图像数据集采样器队列变换强度 MRI k 空间运动伪影 MRI 磁场不均匀性 高斯噪声归一化 直方图标准化 Z 归一化 重新缩放空间翻转仿射变换 B 样条密集变形 示例 相关项目 Credits Installation $ pip install torchio Features 数据处理ImagesDataset ImagesDataset 是直接从 torch.utils.Dataset 继承的医学图像读取器。 它可以与 torch.utils.DataLoader 一起使用,以实现高效读取和数据扩充

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