METAL ARTIFACT CORRECTION IN INDUSTRIAL CT IMAGES BASED ON A DUAL-DOMAIN JOINT DEEP LEARNING FRAMEWORK

Industrial computed tomography (CT) images reconstructed directly from projection data using the filtered back projection (FBP) method exhibit strong metal artifacts due Outdoor Ottoman to factors such as beam hardening, scatter, statistical noise, and deficiencies in the reconstruction algorithms.Traditional correction approaches, confined to eith

Abstract Extracellular vesicles (EVs) have tremendous potential as nano/micron-sized drug delivery carriers.Their physical, chemical and biological characteristics distinguish them as unique carriers with specific pharmacokinetic, circulating metabolic, and biodistribution patterns in the delivery of therapeutic cargoes.They are critical Western Bi