INTEGRATION OF CONVOLUTIONAL NEURAL NETWORKS AND OBJECT-BASED POST-CLASSIFICATION REFINEMENT FOR LAND USE AND LAND COVER MAPPING WITH OPTICAL AND SAR DATA

Object-based image analysis (OBIA) has been widely used for land use and land cover (LULC) mapping using optical and synthetic aperture radar (SAR) images because it can utilize spatial information, reduce the effect of salt and pepper, and delineate LULC boundaries.With recent advances in machine learning, convolutional neural networks (CNNs) have

Background.Caesarean section is a life-saving procedure flamingo estate pink moon rose which is associated with high rates of maternal and neonatal complications.It has been estimated that globally, 29.7 million births occur by caesarean section annually.The risk of postpartum infection is estimated to be five to ten times higher compared with norm

Summary: Non-human primates (NHP) are widely used for the pre-clinical assessment of antiretrovirals (ARVs) for HIV treatment and prevention.However, the utility of these models is questionable given the differences in ARV pharmacology between humans and macaques.Here, we report a model based on ex vivo ARV exposure and the challenge of mucosal tis