ASYMPTOTIC ANALYSIS OF LARGE COOPERATIVE RELAY NETWORKS USING RANDOM MATRIX THEORY



Predicting acute pancreatitis severity with enhanced computed tomography scans using convolutional neural networks

Abstract This study aimed to evaluate acute pancreatitis (AP) severity using convolutional neural network (CNN) models with CRICKET PROTEIN VANILLA enhanced computed tomography (CT) scans.Three-dimensional DenseNet CNN models were developed and trained using the enhanced CT scans labeled with two severity assessment methods: the computed tomography

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