Prediction of cerebral aneurysm rupture risk by machine learning algorithms: a systematic review and meta-analysis of 18,670 participants
MA Habibi, A Fakhfouri, MS Mirjani, A Razavi… - Neurosurgical …, 2024 - Springer
It is possible to identify unruptured intracranial aneurysms (UIA) using machine learning
(ML) algorithms, which can be a life-saving strategy, especially in high-risk populations. To …
(ML) algorithms, which can be a life-saving strategy, especially in high-risk populations. To …
Detection and analysis of cerebral aneurysms based on X-ray rotational angiography-the CADA 2020 challenge
Abstract The Cerebral Aneurysm Detection and Analysis (CADA) challenge was organized
to support the development and benchmarking of algorithms for detecting, analyzing, and …
to support the development and benchmarking of algorithms for detecting, analyzing, and …
Intracranial aneurysm rupture risk estimation with multidimensional feature fusion
X An, J He, Y Di, M Wang, B Luo, Y Huang… - Frontiers in …, 2022 - frontiersin.org
The rupture of aneurysms is the main cause of spontaneous subarachnoid hemorrhage
(SAH), which is a serious life-threatening disease with high mortality and permanent …
(SAH), which is a serious life-threatening disease with high mortality and permanent …
Automatic risk prediction of intracranial aneurysm on CTA image with convolutional neural networks and radiomics analysis
Background Intracranial aneurysm (IA) is a nodular protrusion of the arterial wall caused by
the localized abnormal enlargement of the lumen of a brain artery, which is the primary …
the localized abnormal enlargement of the lumen of a brain artery, which is the primary …
Hemodynamic predictors of cerebral aneurysm rupture: A machine learning approach
Cerebral aneurysms, a common yet silent condition, affect many people worldwide. Proper
treatment selection is crucial because the disease's severity guides the course of treatment …
treatment selection is crucial because the disease's severity guides the course of treatment …