[HTML] springer.com

[HTML][HTML] Deep learning reconstruction for improving the visualization of acute brain infarct on computed tomography

N Okimoto, K Yasaka, N Fujita, Y Watanabe… - Neuroradiology, 2024 - Springer
Purpose This study aimed to investigate the impact of deep learning reconstruction (DLR) on
acute infarct depiction compared with hybrid iterative reconstruction (Hybrid IR). Methods …
被引用次数：4 相关文章
[HTML] nih.gov

[HTML][HTML] Deep learning reconstruction for improving the visualization of acute brain infarct on computed tomography

N Okimoto, K Yasaka, N Fujita, Y Watanabe… - …, 2024 - ncbi.nlm.nih.gov
Purpose This study aimed to investigate the impact of deep learning reconstruction (DLR) on
acute infarct depiction compared with hybrid iterative reconstruction (Hybrid IR). Methods …

Deep learning reconstruction for improving the visualization of acute brain infarct on computed tomography.

N Okimoto, K Yasaka, N Fujita, Y Watanabe… - …, 2023 - europepmc.org
Purpose This study aimed to investigate the impact of deep learning reconstruction (DLR) on
acute infarct depiction compared with hybrid iterative reconstruction (Hybrid IR). Methods …

Deep learning reconstruction for improving the visualization of acute brain infarct on computed tomography

N Okimoto, K Yasaka, N Fujita… - …, 2024 - pubmed.ncbi.nlm.nih.gov
Purpose This study aimed to investigate the impact of deep learning reconstruction (DLR) on
acute infarct depiction compared with hybrid iterative reconstruction (Hybrid IR). Methods …