4D-Lung

该数据集名为4D-Lung，包含了来自20位肺癌患者的82个胸部CT扫描数据，用于放射治疗规划。这些数据包括了吸气末和呼气末阶段的扫描图像，分别作为初始和最终图像。在该数据集中，前68个CT扫描数据来自18位患者，被纳入训练集。数据规模为82个样本，涉及20位患者。该数据集的任务是针对4D医学图像进行图像插值。

The dataset named 4D-Lung consists of 82 chest CT scan datasets from 20 patients with lung cancer, intended for radiotherapy planning. These datasets comprise scan images acquired at end-inspiration and end-expiration phases, which act as the initial and final images respectively. Among them, the first 68 CT scan datasets from 18 patients are allocated to the training set. The dataset has a total of 82 samples involving 20 patients, and its core task is image interpolation for 4D medical images.