Abstract Images can convey intense affective experiences and affect people on an level. With the prevalence of online pictures videos, evaluating emotions from visual content has attracted considerable attention. Affective image recognition aims to classify conveyed by digital images automatically. The existing studies using manual features or deep networks mainly focus low-level high-level sem...

Affective image understanding has been extensively studied in the last decade since more and more users express emotion via visual contents. While current algorithms based on convolutional neural networks aim to distinguish emotional categories in a discrete label space, the task is inherently ambiguous. This is mainly because emotional labels with the same polarity (i.e., positive or negative)...

purpose: to recognize affective factors in delivering x-ray contrast agents (which have high atomic number) via gallium carrier to liver or lymphatic neoplasm cells.   materials and methods: since uptake of gallium by liver has been reported in numerous researches, it was bonded with a contrast media (metrizoate). x-ray imaging was done to determine geometric features of liver.   results: radio...