A review of the deep learning methods for medical images super resolution problems
Y Li, B Sixou, F Peyrin - Irbm, 2021 - Elsevier
Super resolution problems are widely discussed in medical imaging. Spatial resolution of
medical images are not sufficient due to the constraints such as image acquisition time, low …
medical images are not sufficient due to the constraints such as image acquisition time, low …
Image synthesis with adversarial networks: A comprehensive survey and case studies
Abstract Generative Adversarial Networks (GANs) have been extremely successful in
various application domains such as computer vision, medicine, and natural language …
various application domains such as computer vision, medicine, and natural language …
Generative adversarial networks for image super-resolution: A survey
Single image super-resolution (SISR) has played an important role in the field of image
processing. Recent generative adversarial networks (GANs) can achieve excellent results …
processing. Recent generative adversarial networks (GANs) can achieve excellent results …
Road segmentation for remote sensing images using adversarial spatial pyramid networks
Road extraction in remote sensing images is of great importance for a wide range of
applications. Because of the complex background, and high density, most of the existing …
applications. Because of the complex background, and high density, most of the existing …
Oversampling adversarial network for class-imbalanced fault diagnosis
The collected data from industrial machines are often imbalanced, which poses a negative
effect on learning algorithms. However, this problem becomes more challenging for a mixed …
effect on learning algorithms. However, this problem becomes more challenging for a mixed …
DA-DSUnet: dual attention-based dense SU-net for automatic head-and-neck tumor segmentation in MRI images
Precise and accurate segmentation of the most common head-and-neck tumor,
nasopharyngeal carcinoma (NPC), in magnetic resonance images (MRI) sheds light on …
nasopharyngeal carcinoma (NPC), in magnetic resonance images (MRI) sheds light on …
A survey on adversarial attacks for malware analysis
Machine learning has witnessed tremendous growth in its adoption and advancement in the
last decade. The evolution of machine learning from traditional algorithms to modern deep …
last decade. The evolution of machine learning from traditional algorithms to modern deep …
Motion saliency based multi-stream multiplier ResNets for action recognition
In this paper, we propose a Motion Saliency based multi-stream Multiplier ResNets (MSM-
ResNets) for action recognition. The proposed MSM-ResNets model consists of three …
ResNets) for action recognition. The proposed MSM-ResNets model consists of three …
[HTML][HTML] A review of GAN-based super-resolution reconstruction for optical remote sensing images
X Wang, L Sun, A Chehri, Y Song - Remote Sensing, 2023 - mdpi.com
High-resolution images have a wide range of applications in image compression, remote
sensing, medical imaging, public safety, and other fields. The primary objective of super …
sensing, medical imaging, public safety, and other fields. The primary objective of super …
Deep learning-based single-image super-resolution: A comprehensive review
High-fidelity information, such as 4K quality videos and photographs, is increasing as high-
speed internet access becomes more widespread and less expensive. Even though camera …
speed internet access becomes more widespread and less expensive. Even though camera …