Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...

The task of point cloud classification suffers from the problem of insufficient data, and data augmentation is an effective method to alleviate this problem. However, the effect of conventional ...

Application of integrated artificial intelligence systems (IAIs) for the identification and study of prognostic and predictive variables of patients with localized rectal cancer treated at HM ...

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

Data augmentation techniques are often used to artificially increase the size of existing data sets and GANs proved to be a promising method for this purpose in medical and cancer imaging. 25 - 28 ...