IEEE Trans Neural Netw Learn Syst
September 2024
Filter pruning has gained widespread adoption for the purpose of compressing and speeding up convolutional neural networks (CNNs). However, the existing approaches are still far from practical applications due to biased filter selection and heavy computation cost. This article introduces a new filter pruning method that selects filters in an interpretable, multiperspective, and lightweight manner.
View Article and Find Full Text PDFBackground: Some studies have found surgery and anesthesia in children to be associated with neurodevelopmental deficits, but specific reasons for this association have not been fully explored. This study evaluates intraoperative mean arterial pressure (MAP) during a single ambulatory procedure in children and subsequent mental disorder diagnoses.
Methods: A retrospective observational study was performed including children ≥28 days and <18 years of age with intraoperative electronic anesthetic records between January 1, 2009, and April 30, 2017, at our institution.