Few-shot learning researches to learn a novel concept from a handful of labeled samples.Due to the small amount of training data, deep network has the risk of over-fitting.Although many previous approaches based on metric criterion can make significant progress to tackle this challenge, they not only ignore the association between query set and sup
Abstract Addressing health inequities in health professions education is essential for preparing healthcare workers to meet the demands of diverse communities.While simulation has become a widely recognized and effective method for providing safe and authentic clinical learning experiences, there has been limited attention towards the power of simu
Background and aim : The anatomical variations of fissures and lobes of lungs have been described by Drinks many research workers on CT scans, whereas, there were fewer studies done on gross anatomical specimens.Materials and methods : In the present study, 30 embalmed cadavers have been dissected and lungs were examined for fissures and lobes.Resu
Background: Hepatocellular carcinoma (HCC) pathogenesis involves the alteration of multiple liver-specific metabolic pathways.We systematically profiled cancer- and liver-related classes of metabolites in HCC and adjacent liver tissues and applied supervised machine learning to compare their potential yield for HCC biomarkers.Methods: Tumor and cor