Neural Networks Medical Imaging

Convolutional neural networks in medical image

https://link.springer.com/article/10.1007/s12065-020-00540-3

Medical image capturing devices, such as X-ray, CT, MRI, PET and ultrasound scanners capture the anatomy or functioning of the internal organs and …

An overview of deep learning in medical imaging …

https://www.sciencedirect.com/science/article/pii/S0939388918301181

In medical imaging the interest in deep learning is mostly triggered by convolutional neural networks (CNNs) [56], 14 a powerful way to learn useful …

Machine Learning and Deep Learning in Medical …

https://pubmed.ncbi.nlm.nih.gov/31601480/

Artificial intelligence (AI) in medical imaging is a potentially disruptive technology. An understanding of the principles and application of radiomics, artificial neural networks, …

Convolutional Neural Networks for Medical Image …

https://pubmed.ncbi.nlm.nih.gov/26978662/

Our experiments consistently demonstrated that 1) the use of a pre-trained CNN with adequate fine-tuning outperformed or, in the worst case, performed as well as a CNN …

Cloud-based medical imaging reconstruction using deep …

https://aws.amazon.com/blogs/machine-learning/cloud-based-medical-imaging-reconstruction-using-deep-neural-networks/

Medical image analysis with artificial neural networks

https://pubmed.ncbi.nlm.nih.gov/20713305/

Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network …

Deep Neural Networks for Medical Image Segmentation

https://pubmed.ncbi.nlm.nih.gov/35310182/

Deep Neural Networks for Medical Image Segmentation Deep Neural Networks for Medical Image Segmentation J Healthc Eng. 2022 Mar 10;2022:9580991. …

Deep Neural Networks for Medical Image Segmentation

https://www.hindawi.com/journals/jhe/2022/9580991/

The field of medical image analysis is growing and the segmentation of the organs, diseases, or abnormalities in medical images has become demanding. The …

Neural Network Techniques in Medical Image Processing

https://link.springer.com/chapter/10.1007/978-981-15-1275-9_38

Neural networks that are formulated with feed-forward capabilities are the most used in medical image segmentation. Feed-forward neural networks perform …

Harmonizing CT images via physics-based deep neural …

https://spie.org/medical-imaging/presentation/Harmonizing-CT-images-via-physics-based-deep-neural-networks/12463-66

In this paper, we developed a physics-informed deep neural network (DNN) strategy to reduce the variability of computed tomography (CT) quantifications for clinically relevant …