Similarity and quality metrics for MR image-to-image translation
Abstract Image-to-image translation can create large impact in medical imaging, as images can be synthetically transformed to other modalities, sequence types, higher resolutions or lower noise levels. To ensure patient safety, these methods should be validated by human readers, which requires a con...
Saved in:
Main Authors: | Melanie Dohmen, Mark A. Klemens, Ivo M. Baltruschat, Tuan Truong, Matthias Lenga |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-87358-0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
MDRN: Multi-distillation residual network for efficient MR image super-resolution
by: Liwei Deng, et al.
Published: (2024-10-01) -
Semantic Image Synthesis via Class-Adaptive Cross-Attention
by: Tomaso Fontanini, et al.
Published: (2025-01-01) -
The effect of resizing on the natural appearance of scintigraphic images: an image similarity analysis
by: Siraj Ghassel, et al.
Published: (2025-02-01) -
Noninvasive in vivo imaging of macrophages: understanding tumor microenvironments and delivery of therapeutics
by: Prakash Gangadaran, et al.
Published: (2025-01-01) -
The SSIM index is not a metric and it is badly evaluate the similarity of images
by: V. V. Starovoitov
Published: (2019-08-01)