Deep learning in mesoscale brain microscopy image analysis: A review
R Chen, M Liu, W Chen, Y Wang, E Meijering - Computers in Biology and …, 2023 - Elsevier
Mesoscale microscopy images of the brain contain a wealth of information which can help
us understand the working mechanisms of the brain. However, it is a challenging task to …
us understand the working mechanisms of the brain. However, it is a challenging task to …
Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney
Automated blood vessel segmentation is critical for biomedical image analysis, as vessel
morphology changes are associated with numerous pathologies. Still, precise segmentation …
morphology changes are associated with numerous pathologies. Still, precise segmentation …
Fuzzy attention neural network to tackle discontinuity in airway segmentation
Airway segmentation is crucial for the examination, diagnosis, and prognosis of lung
diseases, while its manual delineation is unduly burdensome. To alleviate this time …
diseases, while its manual delineation is unduly burdensome. To alleviate this time …
Segstitch: Multidimensional transformer for robust and efficient medical imaging segmentation
S Tan, Z Zhang, Y Cai, D Ergu, L Wu, B Hu… - arXiv preprint arXiv …, 2024 - arxiv.org
Medical imaging segmentation plays a significant role in the automatic recognition and
analysis of lesions. State-of-the-art methods, particularly those utilizing transformers, have …
analysis of lesions. State-of-the-art methods, particularly those utilizing transformers, have …
TL-MSE2-Net: Transfer learning based nested model for cerebrovascular segmentation with aneurysms
C Zhang, M Zhao, Y Xie, R Ding, M Ma, K Guo… - Computers in Biology …, 2023 - Elsevier
Cerebrovascular (ie, cerebral vessel) segmentation is essential for diagnosing and treating
brain diseases. Convolutional neural network models, such as U-Net, are commonly used …
brain diseases. Convolutional neural network models, such as U-Net, are commonly used …
[HTML][HTML] Intrinsic kinetics of steam methane reforming over a monolithic nickel catalyst in a fixed bed reactor system
The intrinsic kinetics of steam methane reforming were experimentally investigated using a
monolithic nickel-based catalyst in a specially designed fixed bed system. All kinetic tests …
monolithic nickel-based catalyst in a specially designed fixed bed system. All kinetic tests …
Cerebrovascular Segmentation in TOF-MRA with Topology Regularization Adversarial Model
Time-of-flight magnetic resonance angiography (TOF-MRA) is a common cerebrovascular
imaging. Accurate and automatic cerebrovascular segmentation in TOF-MRA images is an …
imaging. Accurate and automatic cerebrovascular segmentation in TOF-MRA images is an …
Brain Image Segmentation for Ultrascale Neuron Reconstruction via an Adaptive Dual-Task Learning Network
M Liu, S Wu, R Chen, Z Lin, Y Wang… - IEEE transactions on …, 2024 - ieeexplore.ieee.org
Accurate morphological reconstruction of neurons in whole brain images is critical for brain
science research. However, due to the wide range of whole brain imaging, uneven staining …
science research. However, due to the wide range of whole brain imaging, uneven staining …
FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA
Purpose Cerebrovascular segmentation and quantification of vascular morphological
features in humans and rhesus monkeys are essential for prevention, diagnosis, and …
features in humans and rhesus monkeys are essential for prevention, diagnosis, and …
Deep Learning for 3D Vascular Segmentation in Phase Contrast Tomography
Automated blood vessel segmentation is critical for biomedical image analysis, as vessel
morphology changes are associated with numerous pathologies. Still, precise segmentation …
morphology changes are associated with numerous pathologies. Still, precise segmentation …