Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology

Author:

Rachmadi Muhammad Febrian,Valdés-Hernández Maria del C.,Agan Maria Leonora Fatimah,Di Perri Carol,Komura Taku

Funder

Indonesia Endowment Fund for Education (LPDP) of Ministry of Finance, Republic of Indonesia

Row Fogo Charitable Trust

Alzheimer's Disease Neuroimaging Initiative

National Institute on Aging

National Institute of Biomedical Imaging and Bioengineering

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

Reference70 articles.

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2. Automatic detection of white matter hyperintensities in healthy aging and pathology using magnetic resonance imaging: a review;Caligiuri;Neuroinformatics,2015

3. Support-vector networks;Cortes;Mach. Learn.,1995

4. Equilibrated adaptive learning rates for non-convex optimization;Dauphin;Advances in Neural Information Processing Systems,2015

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