Multiscale dense convolutional neural network for DSA cerebrovascular segmentation
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DOI: 10.1016/j.neucom.2019.10.035
Abstract: Abstract Accurate cerebrovascular segmentation in Digital Subtraction Angiography (DSA) image, as an indispensable step, can help doctors appropriately estimate the degree of cerebrovascular lesions to avoid misdiagnosis. Because of the complexity of cerebrovascular structure and… read more here.
Keywords: segmentation; dsa; multiscale dense; convolutional neural ... See more keywords
Generative Consistency for Semi-Supervised Cerebrovascular Segmentation From TOF-MRA
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DOI: 10.1109/tmi.2022.3184675
Abstract: Cerebrovascular segmentation from Time-of-flight magnetic resonance angiography (TOF-MRA) is a critical step in computer-aided diagnosis. In recent years, deep learning models have proved its powerful feature extraction for cerebrovascular segmentation. However, they require many labeled… read more here.
Keywords: gcs model; semi supervised; cerebrovascular segmentation; tof mra ... See more keywords
Attention-Assisted Adversarial Model for Cerebrovascular Segmentation in 3D TOF-MRA Volumes
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DOI: 10.1109/tmi.2022.3186731
Abstract: Cerebrovascular segmentation in time-of-flight magnetic resonance angiography (TOF-MRA) volumes is essential for a variety of diagnostic and analytical applications. However, accurate cerebrovascular segmentation in 3D TOF-MRA is faced with multiple issues, including vast variations in… read more here.
Keywords: attention; cerebrovascular segmentation; segmentation; tof mra ... See more keywords
A Parallel Cerebrovascular Segmentation Algorithm Based on Focused Multi-Gaussians Model and Heterogeneous Markov Random Field
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on NanoBioscience"
DOI: 10.1109/tnb.2020.2996604
Abstract: 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 cerebrovascular diseases. In recent years, three-dimensional cerebrovascular segmentation algorithms based on statistical… read more here.
Keywords: heterogeneous markov; focused multi; cerebrovascular segmentation; multi gaussians ... See more keywords