Deep Learning‐Based Magnetic Resonance Imaging in Diagnosis and Treatment of Intracranial Aneurysm
X Lei, Y Yang - Computational and Mathematical Methods in …, 2022 - Wiley Online Library
This study was focused on the positioning of the intracranial aneurysm in the magnetic
resonance imaging (MRI) images using the deep learning‐based U‐Net model, to realize …
resonance imaging (MRI) images using the deep learning‐based U‐Net model, to realize …
[HTML][HTML] Diagnosis of Unruptured Intracranial Aneurysms Using Proton-Density Magnetic Resonance Angiography: A Comparison With High-Resolution Time-of-Flight …
PS Suh, SC Jung, HH Moon, YH Roh… - Korean Journal of …, 2024 - ncbi.nlm.nih.gov
Objective Differentiating intracranial aneurysms from normal variants using CT angiography
(CTA) or MR angiography (MRA) poses significant challenges. This study aimed to evaluate …
(CTA) or MR angiography (MRA) poses significant challenges. This study aimed to evaluate …
Evaluation of the role of angiography in diagnosis and management of brain aneurysm: Literature review
MB Aldosari, AA Alharbi, KAT Alharbi… - International Journal of …, 2021 - ijpras.com
In the population, there is a notable prevalence of unruptured intracranial aneurysms. These
can only be detected early using high-resolution imaging modalities. A discussion of the …
can only be detected early using high-resolution imaging modalities. A discussion of the …
[HTML][HTML] Added Predictive Values of Proton Density Magnetic Resonance Imaging on Posterior Communicating Artery Aneurysms and Surrounding Soft Tissues with …
S Yoon, MJ Kim, HJ Han, KY Park… - Journal of Korean …, 2023 - synapse.koreamed.org
Objective Deciphering the anatomy of posterior communicating artery (PCoA) aneurysms in
relation to surrounding structures is essential to determine adjuvant surgical procedures …
relation to surrounding structures is essential to determine adjuvant surgical procedures …