Publications by authors named "Nym Vandenberg"
A review of medical image data augmentation techniques for deep learning applications.
J Med Imaging Radiat Oncol
August 2021
Article Synopsis
- Research in AI for radiology has shifted towards using deep learning algorithms, which perform better than traditional methods but require large datasets for training.
- To overcome the challenge of limited medical image datasets, data augmentation is increasingly used to artificially expand training data, improving model performance on unseen datasets.
- The authors conducted a systematic review of literature on data augmentation techniques for medical images (specifically CT and MRI) to classify them and provide insights into their effectiveness in training deep learning models for clinical applications.