DDANet: A deep dilated attention network for intracerebral haemorrhage segmentation

DDANet: A deep dilated attention network for intracerebral haemorrhage segmentation

Abstract Intracranial haemorrhage (ICH) is an urgent and potentially fatal medical condition caused by brain blood vessel rupture, leading to blood accumulation in the brain tissue. Due to the pressure and damage it causes to brain tissue, ICH results in severe neurological impairment or even death....

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Bibliographic Details
Main Authors: Haiyan Liu, Yu Zeng, Hao Li, Fuxin Wang, Jianjun Chang, Huaping Guo, Jian Zhang
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Systems Biology
Subjects:
bioinformatics
image segmentation
learning (artificial intelligence)
medical image processing
patient diagnosis
Online Access:https://doi.org/10.1049/syb2.12103

Internet

https://doi.org/10.1049/syb2.12103

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