CRANet: a comprehensive residual attention network for intracranial aneurysm image classification
Abstract Rupture of intracranial aneurysm is the first cause of subarachnoid hemorrhage, second only to cerebral thrombosis and hypertensive cerebral hemorrhage, and the mortality rate is very high. MRI technology plays an irreplaceable role in the early detection and diagnosis of intracranial aneur...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2022-08-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-022-04872-y |