Jens Sundbøll,1 Sandra Kruchov Thygesen,1 Katalin Veres,1 Donghua Liao,2 Jingbo Zhao,2 Hans Gregersen,3 Henrik Toft Sørensen11Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; 2GIOME Academia, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; 3GIOME, Department of Surgery, Chinese Uni
Convolutional neural networks (CNNs) have gained prominence in the research literature on image classification over the last decade.One shortcoming of CNNs, however, is their lack of generalizability and tendency to overfit when presented with small training sets.Augmentation directly confronts this problem by generating new data points providing a
Objectives: We aimed to describe the clinical, microbiological, and imaging characteristics of patients with infective endocarditis (IE) in studies from Latin America (LATAM).Methods: A systematic search through PubMed, EMBASE, LILACS, and SciELO from inception until February 2021 was conducted.We included observational studies that assessed adults
Gamma-ray bursts (GRBs), as they are observed at high redshift ( z = 9.4), are vital to cosmological studies and investigating Population III stars.To tackle these studies, we need usc trojans snapback hat correlations among relevant GRB variables with the requirement of small uncertainties on their variables.Thus, we must have good coverage of GRB