PREDICTING ACUTE PANCREATITIS SEVERITY WITH ENHANCED COMPUTED TOMOGRAPHY SCANS USING CONVOLUTIONAL NEURAL NETWORKS

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 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 severity index (CTSI) a

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A new type of anti-heave semi-submersible drilling platform

A new type of semi-submersible drilling click here platform is designed.The numerical simulation software is used to analyze the heave response of the new platform in the frequency domain and time domain, and the semi-submersible drilling platforms with double-floating four-column structure and heave plate structure are compared with the new platfo

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Transcriptome and widely metabolomic analysis reveal hormones and sugar signaling pathways contribute to the normal growth of seeds in young Picea neoveitchii Mast. trees

Abnormal seed growth is a problem in Picea neoveitchii Mast.in China that threatens the existence of this evergreen coniferous tree.However, the degree of abnormal seed growth varies in different age groups; regrettably, the causes behind abnormal seed growth at different ages are totally unclear.Thus, we compared the seeds of two ages: Gansu (GS)

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