34 citations · 82 across the 19 of their papers we have counts for
4 papers · 1 filter
Deep Learning for the Classification of Lung Nodules
He Yang, Hengyong Yu, Ge Wang
Deep learning, as a promising new area of machine learning, has attracted a rapidly increasing attention in the field of medical imaging. Compared to the conventional machine learn…
Low-dose CT denoising with convolutional neural network
Hu Chen, Yi Zhang, Weihua Zhang +4
To reduce the potential radiation risk, low-dose CT has attracted much attention. However, simply lowering the radiation dose will lead to significant deterioration of the image qu…
Low-Dose CT via Deep Neural Network
Hu Chen, Yi Zhang, Weihua Zhang +4
In order to reduce the potential radiation risk, low-dose CT has attracted more and more attention. However, simply lowering the radiation dose will significantly degrade the imagi…
A Perspective on Deep Imaging
Ge Wang
The combination of tomographic imaging and deep learning, or machine learning in general, promises to empower not only image analysis but also image reconstruction. The latter aspe…