Remote sensing image scene classification (RSISC) plays a vital role in remote sensing applications.Recent methods based on convolutional neural networks (CNNs) have driven the development of RSISC.However, these approaches are not adequate considering the contributions of different features to the global decision.In this paper, triplet-metric-guid
Background: The head and neck squamous cell carcinomas (HNSCC) is one of the most frequent cancers in the world, with an unfavorable prognosis.Cancer stem cells (CSCs) have been Baby found to be responsible for HNSCC recurrence and therapeutic resistance.Methods: The stemness of HNSCC was measured using a stemness index based on mRNA expression (mR
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease worldwide.Liver biopsy is the gold standard for diagnosis and staging of fibrosis in patients with NAFLD; however, it is invasive, costly, and may be associated with morbidity LED Light and even mortality, so is not suitable for screening Baby the large numbe