An Automatic Segmentation Method of Cerebral Arterial Tree in TOF-MRA Based on DBCNet

An Automatic Segmentation Method of Cerebral Arterial Tree in TOF-MRA Based on DBCNet

Arterial tree region segmentation from medical images of the brain is an early step in the diagnosis and evaluation of many cerebrovascular diseases. Most of the existing region segmentation methods rely on manual assistance. In this paper, we propose an automatic brain arterial tree partitioning me...

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Bibliographic Details
Main Authors: ZHANG Jiajun, LU Yucheng, BAO Yifang, LI Yuxin, GENG Chen, HU Fuyuan, DAI Yakang
Format: Article
Language:zho
Published: Science Press 2023-09-01
Series:Chinese Journal of Magnetic Resonance
Subjects:
cerebral arterial tree
time of flight-magnetic resonance angiography (tof-mra)
deep learning
dual branch connected network
automatic segmentation
Online Access:http://121.43.60.238/bpxzz/article/2023/1000-4556/1000-4556-40-3-320.shtml

Internet

http://121.43.60.238/bpxzz/article/2023/1000-4556/1000-4556-40-3-320.shtml

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