Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.

The results demonstrated that the proposed clustering algorithm based method can generate the training dataset for CNN models. The obtained CNN model can segment lung parenchyma with very satisfactory performance and have the potential to locate and analyze lung lesions.