Spatial resolution of medical images can be improved using super-resolut...
Deep learning techniques, especially Generative Adversarial Networks (GA...
Over the past few years deep learning-based techniques such as Generativ...
Magnetic resonance (MR) image re-parameterization refers to the process ...
There is a delicate balance between automating repetitive work in creati...
The recent increase in the extensive use of digital imaging technologies...
Greyscale image colorization for applications in image restoration has s...
Over the last few years, deep learning techniques have yielded significa...
This paper explores the problem of breast tissue classification of micro...