Automated segmentation of trigeminal nerve and cerebrovasculature in MR-angiography images by deep learning

J Lin, L Mou, Q Yan, S Ma, X Yue, S Zhou… - Frontiers in …, 2021 - frontiersin.org
Trigeminal neuralgia caused by paroxysmal and severe pain in the distribution of the
trigeminal nerve is a rare chronic pain disorder. It is generally accepted that compression of …

Deep learning-driven MRI trigeminal nerve segmentation with SEVB-net

C Zhang, M Li, Z Luo, R Xiao, B Li, J Shi… - Frontiers in …, 2023 - frontiersin.org
Purpose Trigeminal neuralgia (TN) poses significant challenges in its diagnosis and
treatment due to its extreme pain. Magnetic resonance imaging (MRI) plays a crucial role in …

Deep learning based real-time semantic segmentation of cerebral vessels and cranial nerves in microvascular decompression scenes

R Bai, X Liu, S Jiang, H Sun - Cells, 2022 - mdpi.com
Automatic extraction of cerebral vessels and cranial nerves has important clinical value in
the treatment of trigeminal neuralgia (TGN) and hemifacial spasm (HFS). However, because …

Multi-level Residual Dual Attention Network for Major Cerebral Arteries Segmentation in MRA towards Diagnosis of Cerebrovascular Disorders

SC Pal, D Toumpanakis, J Wikström… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Segmentation of major brain vessels is very important for the diagnosis of cerebrovascular
disorders and subsequent surgical planning. Vessel segmentation is an important …

Cerebrovascular segmentation from TOF-MRA using model-and data-driven method via sparse labels

B Zhang, S Liu, S Zhou, J Yang, C Wang, N Li, Z Wu… - Neurocomputing, 2020 - Elsevier
Cerebrovascular segmentation from time-of-flight magnetic resonance angiography (TOF-
MRA) data is of great importance in blood supply structure analysis, diagnosis, and …

DDNet: a novel network for cerebral artery segmentation from MRA IMAGES

Y Zhang, L Chen - 2019 12th International Congress on Image …, 2019 - ieeexplore.ieee.org
Brain vascular segmentation is a very important step in the diagnosis and treatment of brain
diseases. Since manual segmentation of the vascular system of the brain is laborious and …

Cntseg: A multimodal deep-learning-based network for cranial nerves tract segmentation

L Xie, J Huang, J Yu, Q Zeng, Q Hu, Z Chen, G Xie… - Medical Image …, 2023 - Elsevier
The segmentation of cranial nerves (CNs) tracts based on diffusion magnetic resonance
imaging (dMRI) provides a valuable quantitative tool for the analysis of the morphology and …

Contour attention network for cerebrovascular segmentation from TOF‐MRA volumetric images

C Yang, H Zhang, D Chi, Y Li, Q Xiao, Y Bai… - Medical …, 2024 - Wiley Online Library
Background Cerebrovascular segmentation is a crucial step in the computer‐assisted
diagnosis of cerebrovascular pathologies. However, accurate extraction of cerebral vessels …

DFENet: A novel dimension fusion edge guided network for brain MRI segmentation

H Basak, R Hussain, A Rana - SN Computer Science, 2021 - Springer
The rapid increment of morbidity of brain stroke in the last few years have been a driving
force towards fast and accurate segmentation of stroke lesions from brain MRI images. With …

Semi-supervised cerebrovascular segmentation by hierarchical convolutional neural network

F Zhao, Y Chen, F Chen, X He, X Cao, Y Hou… - IEEE …, 2018 - ieeexplore.ieee.org
Due to the tortuosity and the complexity of cerebral vasculature and the similar intensity
distribution with the background, it remains challenging to accurately segment cerebral …