Automatic diagnosis based on spatial information fusion feature for intracranial aneurysm
Timely and accurate auxiliary diagnosis of intracranial aneurysm can help radiologist make
treatment plans quickly, saving lives and cutting costs at the same time. At present, Digital …
treatment plans quickly, saving lives and cutting costs at the same time. At present, Digital …
Automatic detection on intracranial aneurysm from digital subtraction angiography with cascade convolutional neural networks
Background An intracranial aneurysm is a cerebrovascular disorder that can result in
various diseases. Clinically, diagnosis of an intracranial aneurysm utilizes digital subtraction …
various diseases. Clinically, diagnosis of an intracranial aneurysm utilizes digital subtraction …
A deep learning–based automatic system for intracranial aneurysms diagnosis on three‐dimensional digital subtraction angiographic images
Abstract Background Intracranial aneurysms (IAs) are a life‐threatening disease. Their
rupture can lead to hemorrhagic stroke. Most studies applying deep learning for the …
rupture can lead to hemorrhagic stroke. Most studies applying deep learning for the …
Deep neural network-based detection and segmentation of intracranial aneurysms on 3D rotational DSA
Objective Accurate diagnosis and measurement of intracranial aneurysms are challenging.
This study aimed to develop a 3D convolutional neural network (CNN) model to detect and …
This study aimed to develop a 3D convolutional neural network (CNN) model to detect and …
Detection of intracranial aneurysms using multiphase CT angiography with a deep learning model
J Wang, J Sun, J Xu, S Lu, H Wang, C Huang… - Academic …, 2023 - Elsevier
Rationale and Objectives Determine the effect of a multiphase fusion deep-learning model
with automatic phase selection in detection of intracranial aneurysm (IA) from computed …
with automatic phase selection in detection of intracranial aneurysm (IA) from computed …
[HTML][HTML] A deep learning model with high standalone performance for diagnosis of unruptured intracranial aneurysm
Purpose This study aimed to investigate whether a deep learning model for automated
detection of unruptured intracranial aneurysms on time-of-flight (TOF) magnetic resonance …
detection of unruptured intracranial aneurysms on time-of-flight (TOF) magnetic resonance …
Detection of intracranial aneurysms using deep learning-based CAD system: usefulness of the scores of CNN's final layer for distinguishing between aneurysm and …
M Ishihara, M Shiiba, H Maruno, M Kato… - Japanese Journal of …, 2023 - Springer
Purpose We evaluated the diagnostic performance of a clinically available deep learning-
based computer-assisted diagnosis software for detecting unruptured aneurysms (UANs) …
based computer-assisted diagnosis software for detecting unruptured aneurysms (UANs) …
1D CNN‐Based Intracranial Aneurysms Detection in 3D TOF‐MRA
W Hou, S Mei, Q Gui, Y Zou, Y Wang, X Deng… - …, 2020 - Wiley Online Library
How to automatically detect intracranial aneurysms from Three‐Dimension Time of Flight
Magnetic Resonance Angiography (3D TOF MRA) images is a typical 3D image …
Magnetic Resonance Angiography (3D TOF MRA) images is a typical 3D image …
Automated detection of intracranial aneurysms using skeleton-based 3D patches, semantic segmentation, and auxiliary classification for overcoming data imbalance …
Accurate and reliable detection of intracranial aneurysms is vital for subsequent treatment to
prevent bleeding. However, the detection of intracranial aneurysms can be time-consuming …
prevent bleeding. However, the detection of intracranial aneurysms can be time-consuming …
Deep learning for automated cerebral aneurysm detection on computed tomography images
Purpose Cerebrovascular aneurysms are being observed with rapidly increasing incidence.
Therefore, tools are needed for accurate and efficient detection of aneurysms. We used …
Therefore, tools are needed for accurate and efficient detection of aneurysms. We used …