Identification of Lung Tissue Patterns in Subjects with Chronic Obstructive Pulmonary Disease Using a Convolutional Deep Learning Model

We have developed a three-dimensional (3D) convolutional autoencoder (CAE) in conjunction with the exploratory factor analysis to predict pulmonary functions and discover possible tissue patterns which are associated with alterations of pulmonary functions.
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