METAL ARTIFACT REDUCTION IN KV CT IMAGES THROUGHOUT TWO-STEP SEQUENTIAL DEEP CONVOLUTIONAL NEURAL NETWORKS BY COMBINING MULTI-MODAL IMAGING (MARTIAN)

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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System for Analysis and Prediction of Trends in copyright Market

In this article forecasting of daily closing price series of Bitcoin, Ripple, Dash, Litecoin and Ethereum copyright Toys currencies, using data on prices (open, low, high), market capital and volumes using prior days is focused.The value conduct of cryptographic forms of money remains to a great extent neglected, giving new chances to scientists an

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Foundation Level Workplace Training Programmes

This paper outlines the scale of the adult literacy and numeracy issue in New Zealand and describes a policy intervention designed to upskill employees in workplaces to help resolve the issue for them.This is threadheaders.shop the Workplace Literacy and Numeracy (WLN) Fund, which enables around 7000 employees a year to complete a 25- to 80-hour le

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