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Hybrid deep learning for detecting lung diseases from X-ray images
2020
Informatics in Medicine Unlocked
Lung disease is common throughout the world. These include chronic obstructive pulmonary disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely diagnosis of lung disease is essential. Many image processing and machine learning models have been developed for this purpose. Different forms of existing deep learning techniques including convolutional neural network (CNN), vanilla neural network, visual geometry group based neural network (VGG), and capsule network are applied for lung
doi:10.1016/j.imu.2020.100391
pmid:32835077
pmcid:PMC7341954
fatcat:n4mxxe3k3be4vlulf7jkzsug5q