Accelerated Diffusion-Weighted MRI of Rectal Cancer Using a Residual Convolutional Network
This work presents a deep-learning-based denoising technique to accelerate the acquisition of high <i>b</i>-value diffusion-weighted MRI for rectal cancer. A denoising convolutional neural network (DCNN) with a combined L1–L2 loss function was developed to denoise high <i>b</i&g...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
|
| Series: | Bioengineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5354/10/3/359 |