Fully automated segmentation on brain ischemic and white matter hyperintensities lesions using semantic segmentation networks with squeeze-and-excitation blocks in MRI

Fully automated segmentation on brain ischemic and white matter hyperintensities lesions using semantic segmentation networks with squeeze-and-excitation blocks in MRI

Ischemic stroke, a common disease in the elderly, can cause long-term disability and death. Quantitative measurement of brain ischemic lesions at the acute stage is vital for accurate diagnosis and treatment decisions for stroke patients. Currently, the manual segmentation of ischemic lesions is tim...

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Bibliographic Details
Main Authors: A-Reum Lee, Ilsang Woo, Dong-Wha Kang, Seung Chai Jung, Hyunna Lee, Namkug Kim
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Brain ischemic lesion segmentation
Deep learning
Diffusion-weighted imaging (DWI)
Medical image segmentation
Semantic segmentation
Squeeze-and-excitation (SE) block
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914820305906

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http://www.sciencedirect.com/science/article/pii/S2352914820305906

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