Abstract: A machine learning approach is herein provided for preparing a model for assessing the progression of a lung disease, comprises receiving a first set of segmented images of lungs from different patients with the lung disease. The first set of images is segmented and used to train the model. The trained model is applied to a set of unsegmented images to generate a second set of segmented images. The model is updated with the second set of segmented segmentation. From the model, at least one result associated with progression of the lung disease is outputted.