Data augmentation encompasses a diverse array of methods designed to expand and diversify training datasets without the need for additional manual annotation. In computer vision, common approaches ...
Blood cells undergo various morphological changes as they progress in their life cycle or undergo the impact of environmental factors. Classification of cell-cycle phases in nucleated blood cells ...
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., ...
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