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Segmenting white matter hyperintensities in brain magnetic resonance images using convolution neural networks

Kauê Tartarotti Nepomuceno Duarte, David G. Gobbi, Abhijot S. Sidhu, Cheryl R. McCreary, Feryal Saad, Richard Camicioli, Eric E. Smith, Richard Frayne

2023Pattern Recognition Letters16 citationsDOI

Topics & Concepts

Fluid-attenuated inversion recoveryHyperintensitySegmentationConvolutional neural networkArtificial intelligenceMagnetic resonance imagingPattern recognition (psychology)Generalizability theoryWhite matterComputer sciencePsychologyMedicineRadiologyDevelopmental psychologyBrain Tumor Detection and ClassificationMedical Image Segmentation TechniquesAdvanced Neuroimaging Techniques and Applications
Segmenting white matter hyperintensities in brain magnetic resonance images using convolution neural networks | Litcius