7 citations · 7 across the 1 of their papers we have counts for
2 papers
eess.IV2019
Single Image Super-resolution via Dense Blended Attention Generative Adversarial Network for Clinical Diagnosis
Kewen Liu, Yuan Ma, Hongxia Xiong +6
During training phase, more connections (e.g. channel concatenation in last layer of DenseNet) means more occupied GPU memory and lower GPU utilization, requiring more training tim…
cs.CV2019★ 7 cited
Medical image super-resolution method based on dense blended attention network
Kewen Liu, Yuan Ma, Hongxia Xiong +4
In order to address the issue that medical image would suffer from severe blurring caused by the lack of high-frequency details in the process of image super-resolution reconstruct…