Transformer, one of the latest technological advances of deep learning, has gained
prevalence in natural language processing or computer vision. Since medical imaging bear …

Significant evolution in deep learning took place in 2010, when software developers started
using graphical processing units for general-purpose applications. From that date, the deep …

In this study, multiple lung diseases are diagnosed with the help of the Neural Network
algorithm. Specifically, Emphysema, Infiltration, Mass, Pleural Thickening, Pneumonia …

Pneumonia is among the top diseases which cause most of the deaths all over the world.
Virus, bacteria and fungi can all cause pneumonia. However, it is difficult to judge the …

Deep learning-based image segmentation is by now firmly established as a robust tool in
image segmentation. It has been widely used to separate homogeneous areas as the first …

The rich collection of annotated datasets piloted the robustness of deep learning techniques
to effectuate the implementation of diverse medical imaging tasks. Over 15% of deaths …

The goals of this review paper on deep learning (DL) in medical imaging and radiation
therapy are to (a) summarize what has been achieved to date;(b) identify common and …

Transfer learning from natural images to medical images has been established as one of the
most practical paradigms in deep learning for medical image analysis. To fit this paradigm …

Deep learning has rapidly advanced in various fields within the past few years and has
recently gained particular attention in the radiology community. This article provides an …

The chest X-ray is one of the most commonly accessible radiological examinations for
screening and diagnosis of many lung diseases. A tremendous number of X-ray imaging …