Semi-Supervised Cerebrovascular Segmentation by Hierarchical Convolutional Neural Network

Semi-Supervised Cerebrovascular Segmentation by Hierarchical Convolutional Neural Network

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 vessels from magnetic resonance angiography (MRA). The previous rule-based methods have limitations when applied to accur...

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Bibliographic Details
Main Authors: Fengjun Zhao, Yibing Chen, Fei Chen, Xuelei He, Xin Cao, Yuqing Hou, Huangjian Yi, Xiaowei He, Jimin Liang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Magnetic resonance angiography
cerebral blood vessel
centerline
segmentation
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/8522028/

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