… image, we investigate the potential of machine learning techniques based on deep learning
… Modern deep learning algorithms trained on jet images can out-perform standard physically-…

… machine learning and deep learning application domains. … of machine learning (ML)/radiomics
and deep learning (DL) … , allowing us to directly process images. The data curation …

… First, we introduce some common architectures of deep learning. Then, we … deep learning
in MRI images, such as image detection, image registration, image segmentation, and image …

… for ‘deep learning’ and ‘3D deep learning’ … to deep learning for both 2D and 3D images. In
this systematic review, we searched for the applications of 3D deep learning in medical image …

… Number of papers on fundus images and deep learning in recent years. … In this review, we
focus on the successful application of deep learning methods in fundus images from January …

… conventional RGB images, which has several applications in robotics, such as learning from
… After initializing weights with a very deep convolutional network for image classification, the …

… the current image data augmentation techniques which can be used to increase the number
of images. In this paper, a survey of data augmentation for digital images in deep learning …

… between unprocessed images and images processed with a fixed class of processing. In
this paper, we propose an alternative detector constructed using the tools of deep learning as a …

… real images, and training only the remaining layers with plain OpenGL rendering may allow
for training with synthetic images only. Our experiments with very recent deep architectures …

… Inspired by the information density method [13], a similarity function S(x, xn ) and an
uncertainty function Φ(x) for a deep learning architectures are proposed in this paper. It is also im…