HIGHLIGHTS
- who: Md. Biddut Hossain et al. from the School of Information and Communication Engineering, Chungbuk National University, Cheongju-Si, Chungcheongbuk-Do, Republic of Korea have published the article: A Hybrid Residual Attention Convolutional Neural Network for Compressed Sensing Magnetic Resonance Image Reconstruction, in the Journal: Diagnostics 2023, 1306 of /2023/
- what: The authors propose dual-domain deep learning technique for accelerating The aim of the proposed method is to reduce the value of this loss function, in which a smaller difference between the fully sampled and undersampled images indicates efficient reconstruction. The authors show that . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.