NLST data

该数据集被广泛用于评估患者内注册方法，尤其是在估计吸气和呼气CT扫描之间肺部形变方面，这是一个具有挑战性的问题，因为其间存在着大幅的非线性位移。为了训练，该数据集进行了尺寸调整，并包含了用于评估的地面真实标记。该任务专注于肺部CT扫描的患者内注册。This dataset is widely utilized for evaluating intrapatient registration methods, especially for estimating pulmonary deformation between inspiratory and expiratory CT scans. This is a challenging task due to the presence of significant nonlinear displacements between the two scans. For training purposes, the dataset has been resized and includes ground-truth landmarks for evaluation. This task focuses on intrapatient registration of pulmonary CT scans.