Light has always carried more than brightness. In this case, it also carries direction and twist. That mix may open a new ...

Abstract: Deep learning algorithms have depicted commendable performance in a variety of computer vision applications. However, training a robust deep neural network necessitates a large amount of ...

Abstract: Computed tomography (CT) is extensively used for accurate visualization and segmentation of organs and lesions. While deep learning models such as convolutional neural networks (CNNs) and ...