Walnuts

Walnut and Heart CT Data corresponding to Noisier2Inverse consist of high-resolution computed tomography (CT) scans used for evaluating deep learning-based image reconstruction under severe noise conditions. The dataset includes walnut CT scans from controlled experimental settings and clinical cardiac CT images. The Walnut data stems from this source: https://paperswithcode.com/dataset/cbct-walnut, and the Heart CT data is processed in python before, and is provided in .pt format. The origintal image stem from https://www.kaggle.com/datasets/abbymorgan/heart-ct. The exact preprocessing and also how the noise is put on the data can be found on our Github https://github.com/Nadja1611/Noisier2Inverse-Joint-Denoising-and-Reconstruction-of-correlated-noise

与Noisier2Inverse对应的核桃与心脏CT数据集，包含高分辨率计算机断层扫描（CT）影像，用于评估重度噪声条件下基于深度学习的图像重建方法。该数据集涵盖受控实验环境下获取的核桃CT扫描影像，以及临床心脏CT图像。核桃CT数据集源自以下来源：https://paperswithcode.com/dataset/cbct-walnut；心脏CT数据此前已通过Python完成预处理，以.pt格式提供，其原始影像来自https://www.kaggle.com/datasets/abbymorgan/heart-ct。关于具体的预处理流程以及为数据集添加噪声的方法，可查阅我们的GitHub仓库：https://github.com/Nadja1611/Noisier2Inverse-Joint-Denoising-and-Reconstruction-of-correlated-noise