Bone augmentation techniques have become an integral component of modern dental implantology, addressing alveolar ridge deficiencies and ensuring successful implant placement. These procedures ...

Data augmentation refers to a set of techniques that modify existing data instances to create new, synthetic samples. These techniques involve applying a range of transformations such as rotation, ...

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 ...

An example of visual data augmentation techniques used in machine learning, which captures the main principle of variability effects: exposure to variation along non-discriminative dimensions (i.e., ...