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Multienergy computed tomography (MECT) is an encouraging imaging modality for product decomposition, lesion detection, as well as other clinical applications. However, there was an urgent want to design efficient and precise formulas to resolve the inverse dilemmas associated with spectral repair and enhance image high quality, specifically under low-dose and incomplete datasets. One of the keys issue for MECT reconstruction is simple tips to efficiently explain the interchannel and intrachannel priors
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