Metal artifact reduction in kV CT images throughout two-step sequential deep convolutional neural networks by combining multi-modal imaging (MARTIAN)

Abstract This work attempted to construct a new metal artifact reduction (MAR) framework in kilo-voltage (kV) computed tomography (CT) images by combining (1) deep learning and (2) multi-modal imaging, defined as MARTIAN (Metal Artifact Reduction throughout Two-step sequentIAl deep convolutional neural Networks).Most CNNs under supervised learning

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Manifestations of traditional knowledge in water systems: The cases of the Kuchaman Fort and Rathi Haveli, Rajasthan

Water scarcity in the arid region of Rajasthan incentivized a sophisticated indigenous knowledge of water hindigyanvishv.com systems.This traditional knowledge, which was rooted in this geographical context, supported the prosperity of this region for centuries.The systemic degradation of this knowledge has increased the demand for external resourc

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