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. Author manuscript; available in PMC: 2023 Apr 21.
Published in final edited form as: Med Image Comput Comput Assist Interv. 2022 Sep 16;13435:725–734. doi: 10.1007/978-3-031-16443-9_69

Fig. 1.

Fig. 1.

The proposed BERTHop framework for CXR disease diagnosis. A PixelHop++ model followed by a “PCA and concatenation” block is used to generate Q feature vectors. These features along with language embedding are fed to the transformer that is initialized with BlueBERT.