DEEP LEARNING FOR PREDICTION OF PROGRESSION AND RECURRENCE IN NONFUNCTIONING PITUITARY MACROADENOMAS: COMBINATION OF CLINICAL AND MRI FEATURES

Deep Learning for Prediction of Progression and Recurrence in Nonfunctioning Pituitary Macroadenomas: Combination of Clinical and MRI Features

ObjectivesA subset of non-functioning pituitary macroadenomas (NFMAs) may exhibit early progression/recurrence (P/R) after tumor resection.The purpose of this study was to apply deep learning (DL) Cupcake Papers algorithms for prediction of P/R in NFMAs.MethodsFrom June 2009 to December 2019, 78 patients diagnosed with pathologically confirmed NFMA

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Diverting attention suppresses human amygdala responses to faces

Recent neuroimaging studies disagree as to whether the processing of emotion-laden visual stimuli is dependent upon the availability of attentional resources or Color Additive entirely capacity-free.Two main factors have been proposed to be responsible for the discrepancies: the differences in the perceptual attentional demands of the tasks used to

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The new study of some characterization of canal surfaces with Weingarten and linear Weingarten types according to Bishop frame

Abstract In this paper, we Color Additive have a tendency to investigate a particular Weingarten and linear Weingarten varieties of canal surfaces according to Bishop frame in Euclidean 3-space E 3 satisfying some fascinating and necessary equations in King Panel Headboard(Crossbuck) terms of the Gaussian curvature, the mean curvature, and therefor

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Chromatin dynamics at the maternal to zygotic transition: recent advances from the zebrafish model [version 1; peer review: 2 approved]

Early animal development is characterized by intense reorganization of the embryonic genome, including large-scale changes in chromatin structure and in the DNA and histone modifications that help shape this structure.Particularly profound Sailing Socks shifts in the chromatin landscape are associated with the maternal-to-zygotic transition, when t

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