[HTML][HTML] Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data–a systematic review
R Balakrishnan, MCV Hernández, AJ Farrall - … Medical Imaging and …, 2021 - Elsevier
Background White matter hyperintensities (WMH), of presumed vascular origin, are visible
and quantifiable neuroradiological markers of brain parenchymal change. These changes …
and quantifiable neuroradiological markers of brain parenchymal change. These changes …
[HTML][HTML] White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks
White matter hyperintensities (WMH) are a feature of sporadic small vessel disease also
frequently observed in magnetic resonance images (MRI) of healthy elderly subjects. The …
frequently observed in magnetic resonance images (MRI) of healthy elderly subjects. The …
A deep learning algorithm for white matter hyperintensity lesion detection and segmentation
Purpose White matter hyperintensity (WMHI) lesions on MR images are an important
indication of various types of brain diseases that involve inflammation and blood vessel …
indication of various types of brain diseases that involve inflammation and blood vessel …
White matter hyperintensities segmentation using an ensemble of neural networks
White matter hyperintensities (WMHs) represent the most common neuroimaging marker of
cerebral small vessel disease (CSVD). The volume and location of WMHs are important …
cerebral small vessel disease (CSVD). The volume and location of WMHs are important …
Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities
White matter hyperintensities (WMHs) appear as regions of abnormally signal intensity on
magnetic resonance imaging (MRI) images, that can be identified in MRI images of elderly …
magnetic resonance imaging (MRI) images, that can be identified in MRI images of elderly …
[HTML][HTML] SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder
White matter hyperintensities (WMHs) of presumed vascular origin are frequently observed
in magnetic resonance images (MRIs) of the elderly. Detection and quantification of WMHs …
in magnetic resonance images (MRIs) of the elderly. Detection and quantification of WMHs …
[HTML][HTML] Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI
Automatic segmentation of brain tissues and white matter hyperintensities of presumed
vascular origin (WMH) in MRI of older patients is widely described in the literature. Although …
vascular origin (WMH) in MRI of older patients is widely described in the literature. Although …
Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge
Quantification of cerebral white matter hyperintensities (WMH) of presumed vascular origin
is of key importance in many neurological research studies. Currently, measurements are …
is of key importance in many neurological research studies. Currently, measurements are …
Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild …
MF Rachmadi, MC Valdes-Hernandez… - … Medical Imaging and …, 2018 - Elsevier
We propose an adaptation of a convolutional neural network (CNN) scheme proposed for
segmenting brain lesions with considerable mass-effect, to segment white matter …
segmenting brain lesions with considerable mass-effect, to segment white matter …
Accuracy and reproducibility of automated white matter hyperintensities segmentation with lesion segmentation tool: A European multi-site 3T study
Brain vascular damage accumulate in aging and often manifest as white matter
hyperintensities (WMHs) on MRI. Despite increased interest in automated methods to …
hyperintensities (WMHs) on MRI. Despite increased interest in automated methods to …
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