A deep semantic segmentation correction network for multi-model tiny lesion areas detection

A deep semantic segmentation correction network for multi-model tiny lesion areas detection

Abstract Background Semantic segmentation of white matter hyperintensities related to focal cerebral ischemia (FCI) and lacunar infarction (LACI) is of significant importance for the automatic screening of tiny cerebral lesions and early prevention of LACI. However, existing studies on brain magneti...

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Bibliographic Details
Main Authors: Yue Liu, Xiang Li, Tianyang Li, Bin Li, Zhensong Wang, Jie Gan, Benzheng Wei
Format: Article
Language:English
Published: BMC 2021-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
White matter hyperintensities
Focal cerebral ischemia
Lacunar infarct
Magnetic resonance imaging
Multi-modality
Online Access:https://doi.org/10.1186/s12911-021-01430-z

Internet

https://doi.org/10.1186/s12911-021-01430-z

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