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Cross-domain Self-supervised Framework for Photoacoustic Computed Tomography Image Reconstruction
We find that dynamically masking a high proportion of the channels, e. g., 80%, yields nontrivial self-supervisors in both image and signal domains, which decrease the multiplicity of the pseudo solution to efficiently reconstruct the image from fewer PA measurements with minimum error of the image.
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