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

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

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IEEE ISBI 2020 Virtual Conference April 2020

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

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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.