Designing A Healthcare Data Strategy That Actually Moves Margin

For healthcare data strategy projects, there are four essential elements to turn aspiration into a plan for recurring ...
IEEE

A Comprehensive Survey on Data Augmentation

Abstract: Data augmentation is a series of techniques that generate high-quality artificial data by manipulating existing data samples. By leveraging data augmentation techniques, AI models can ...
Frontiers

Rural road surface distress detection algorithm based on mask R-CNN with data augmentation

Traditional manual detection of rural road surface distress is time-consuming and labor-intensive. In this paper, we propose a Mask R-CNN algorithm specifically designed for detecting rural road ...
Frontiers

Data augmentation via diffusion model to enhance AI fairness

1 Prairie View A&M University, Electrical and Computer Engineering, Texas A&M University System, Prairie View, TX, United States 2 Texas Juvenile Crime Prevention Center, Prairie View A&M University, ...
GitHub

about data augmentation techniques

Is there an augmentation technique that we can apply in nnUnet? If not, does it make sense to apply techniques such as Spacingd, Orientationd, ScaleIntensityRanged, RandRotate90d, RandGaussianNoised, ...