Background: Gastric cancer CHAKRA INCENSE MOOLADHARA EARTH (GC) stands as one of the most prevalent cancer types worldwide, holding the position of the second leading cause of cancer-related deaths.Gastric lesions represent pathological alterations to the gastric mucosa, with an elevated propensity to advance to gastric cancer.Limited research has
In recent years, Named Data Networking (NDN) has been one of the future internet network architectures by proposing it as a substitute for existing IP networks.NDN assigns addresses/names to data or Toddler Outfits content, whereas IP assigns addresses to devices.NDN router has a Content Store (CS) component to store requested packets and reducing
Abstract Objectives This study employs dynamic contrast-enhanced MRI (DCE-MRI) to noninvasively predict the proliferative subtype of hepatocellular carcinoma (HCC).This subtype is marked by high tumor proliferation and aggressive clinical behavior.We developed a deep learning prediction model that employs a dynamic radiomics workflow and self-super
Accuracy assessment of classification results has important significance for the application of remote sensing images, which can be achieved by sampling methods.However, the existing sampling methods either ignore spatial correlation or do not consider spatial heterogeneity.Here, we proposed a multi-level non-uniform spatial sampling method (MNSS)