Exponentiating pixel values for data augmentation to improve deep learning image classification in chest X-rays

Introduction Introduction Method Result Discussion Conclusion References Data augmentation (DA) is a technique of artificial intelligence (AI) and mainly used with convolutional neural network (CNN) to enhance the size and quality of datasets.1 CNN with DA can improve prediction accuracy of Chest X-ray (CXR) screening and lead to reducing burden on radiologists.2,3 A previous study reported that exponentiating pixel values of a medical can be used for DA through enhancing contrast of the image.4 However, it is still unclear whether exponentiating pixel values of CXR images can be used for DA with CNN. The aim of this study is to evaluate the effectiveness of exponentiating pixel values for DA using CNN in the t ...