Brain Image Recognition Algorithm and High Performance Computing of Internet of Medical Things Based on Convolutional Neural Network

Due to the wide variety of medical images and the complexity of the human body structure, the characteristics of manual extraction of medical images are difficult, the adaptive ability is poor, and the classification effect Finden and Hales needs to be improved.Aiming at the shortcomings of traditional medical image recognition methods, this paper

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Development and validation of a postgraduate anaesthesiology core curriculum based on Entrustable Professional Activities: a Delphi study

Background: Postgraduate training curricula should not be based on time-spans or predefined numbers of performed procedures.One approach to link competencies to clinical tasks is the concept of Entrustable Professional Activities (EPA).The goal of this study was the definition, ranking and validation of EPAs for anaesthesiology postgraduate trainin

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DCFusion: Dual-Headed Fusion Strategy and Contextual Information Awareness for Infrared and Visible Remote Sensing Image

In remote sensing, the fusion of infrared and visible NUTRI SEA OMEGA 3 images is one of the common means of data processing.Its aim is to synthesize one fused image with abundant common and differential information from the source images.At present, the fusion methods based on deep learning are widely employed in this work.However, the existing fu

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