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. 2024 Feb 13;37(3):1217–1227. doi: 10.1007/s10278-024-01015-y

Fig. 1.

Fig. 1

Overview of the proposal method. Our approach comprises the following three steps: I dimensional reduction of chest X-ray radiographs (CXRs) in a private dataset (pDS) using a pretrained encoder and merging with the remaining tabular clinical data; II training the CTGAN model on these merged tabular data and generating synthetic records that contain encoded image features and tabular clinical data; and III reconstructing the image features to synthetic CXRs using a pretrained decoder