All answers are in the images: A review of deep learning for cerebrovascular segmentation
Cerebrovascular imaging is a common examination. Its accurate cerebrovascular
segmentation become an important auxiliary method for the diagnosis and treatment of …
segmentation become an important auxiliary method for the diagnosis and treatment of …
Generative adversarial network based cerebrovascular segmentation for time-of-flight magnetic resonance angiography image
The accurate segmentation of cerebral vessels from time-of-flight magnetic resonance
angiography (TOF-MRA) data is crucial for the diagnosis and treatment of cerebrovascular …
angiography (TOF-MRA) data is crucial for the diagnosis and treatment of cerebrovascular …
Weakly-supervised cerebrovascular segmentation network with shape prior and model indicator
Labeling cerebral vessels requires domain knowledge in neurology and could be extremely
laborious, and there is a scarcity of public annotated cerebrovascular datasets. Traditional …
laborious, and there is a scarcity of public annotated cerebrovascular datasets. Traditional …
Cerebrovascular segmentation from TOF-MRA based on multiple-U-net with focal loss function
Abstract Background and Objective Accurate cerebrovascular segmentation plays an
important role in the diagnosis of cerebrovascular diseases. Considering the complexity and …
important role in the diagnosis of cerebrovascular diseases. Considering the complexity and …
Portal vein and hepatic vein segmentation in multi-phase MR images using flow-guided change detection
Segmenting portal vein (PV) and hepatic vein (HV) from magnetic resonance imaging (MRI)
scans is important for hepatic tumor surgery. Compared with single phase-based methods …
scans is important for hepatic tumor surgery. Compared with single phase-based methods …
Integration-and separation-aware adversarial model for cerebrovascular segmentation from TOF-MRA
Purpose Cerebrovascular segmentation from time-of-flight magnetic resonance angiography
(TOF-MRA) is important but challenging for the simulation and measurement of …
(TOF-MRA) is important but challenging for the simulation and measurement of …
A nested parallel multiscale convolution for cerebrovascular segmentation
L Xia, Y Xie, Q Wang, H Zhang, C He, X Yang… - Medical …, 2021 - Wiley Online Library
Purpose: Cerebrovascular segmentation in magnetic resonance imaging (MRI) plays an
important role in the diagnosis and treatment of cerebrovascular diseases. Many …
important role in the diagnosis and treatment of cerebrovascular diseases. Many …
Cerebrovascular segmentation in phase-contrast magnetic resonance angiography by a Radon projection composition network
W Weng, H Ding, J Bai, W Zhou, G Wang - Computerized Medical Imaging …, 2023 - Elsevier
Cerebrovascular segmentation based on phase-contrast magnetic resonance angiography
(PC-MRA) provides patient-specific intracranial vascular structures for neurosurgery …
(PC-MRA) provides patient-specific intracranial vascular structures for neurosurgery …
Cerebrovascular landmark detection under anatomical variations
Anatomical landmark detection has important applications in cerebrovascular analysis and
clinical treatments, which is challenging due to the complex structure, various natural …
clinical treatments, which is challenging due to the complex structure, various natural …
A parallel cerebrovascular segmentation algorithm based on focused multi-Gaussians model and heterogeneous Markov random field
Z Lv, F Mi, Z Wu, Y Zhu, X Liu, M Tian… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
A complete and detailed cerebrovascular image segmented from time-of-flight magnetic
resonance angiography (TOF-MRA) data is essential for the diagnosis and therapy of the …
resonance angiography (TOF-MRA) data is essential for the diagnosis and therapy of the …