Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data – A systematic review

Author:

Balakrishnan Ramya,Valdés Hernández Maria del C.ORCID,Farrall Andrew J.

Funder

Wellcome Trust

Mrs Gladys Row Fogo Charitable Trust

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference126 articles.

1. Advanced Normalization Tools (ANTs) - SourceForge.net. (2020). Retrieved 18 June 2020, from https://sourceforge.net/projects/advants/files/.

2. A comparative study of segmentation techniques for the quantification of brain subcortical volume;Akudjedu;Brain Imaging Behav.,2018

3. Probabilistic segmentation of white matter lesions in MR imaging;Anbeek;NeuroImage,2004

4. ANTsX/ANTs (2020). Retrieved 18 June 2020, from: https://github.com/ANTsX/ANTs.

5. SegAE: unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder;Atlason;Neuroimage Clin.,2019

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