In the field of deep learning, particularly in the context of the Kaggle lung cancer detection competition, preprocessing plays a important role in preparing the data for training a 3D convolutional neural network (CNN). Tracking the progress of preprocessing is essential to ensure that the data is properly transformed and ready for subsequent stages of