Interpretable model-driven projected gradient descent network for high-quality fDOT reconstruction.
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DOI: 10.1364/ol.459456
Abstract: In fluorescence diffuse optical tomography (fDOT), the quality of reconstruction is severely limited by mismodeling and ill-posedness of inverse problems. Although data-driven deep learning methods improve the quality of image reconstruction, the network architecture lacks… read more here.
Keywords: network; gradient descent; quality; projected gradient ... See more keywords