Deep learning has been applied to clinical applications in not only radiology, but also all
other areas of medicine. This review provides a technical and clinical overview of deep …

As radiology is inherently a data-driven specialty, it is especially conducive to utilizing data
processing techniques. One such technique, deep learning (DL), has become a remarkably …

Deep learning with a convolutional neural network (CNN) is gaining attention recently for its
high performance in image recognition. Images themselves can be utilized in a learning …

Deep learning (DL) is one of the branches of artificial intelligence that has seen exponential
growth in recent years. The scientific community has focused its attention on DL due to its …

In the present article, we provide an overview on the basics of deep learning in terms of
technical aspects and steps required to launch a deep learning research. Deep learning is a …

Abstract Machine learning techniques are essential components of medical imaging
research. Recently, a highly flexible machine learning approach known as deep learning …

Deep learning is a class of machine learning methods that are gaining success and
attracting interest in many domains, including computer vision, speech recognition, natural …

Radiological imaging diagnosis plays important roles in clinical patient management. Deep
learning with convolutional neural networks (CNNs) is recently gaining wide attention for its …

Abstract The advent of Deep Learning (DL) is poised to dramatically change the delivery of
healthcare in the near future. Not only has DL profoundly affected the healthcare industry it …

Chest X-ray radiography and computed tomography, the two mainstay modalities in thoracic
radiology, are under active investigation with deep learning technology, which has shown …