Using convolutional neural network to analyze brain MRI images for predicting functional outcomes of stroke

Author:

Lai Yu-Liang,Wu Yu-Dan,Yeh Huan-Jui,Wu Ya-Ting,Tsai Hsin-Yu,Chen Jung-Chih

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Reference39 articles.

1. Eric SD (2018) Stroke in the 21st century: a snapshot of the burden, epidemiology, and quality of life. Stroke Res Treat 27:1–10

2. Walter J, Oyere O, Mayowa O, Sonal S (2016) Stroke: a global response is needed. Bull World Health Organ 94(9):634

3. Gregory AR, Catherine J, Amanuel A, Foad A, Semaw FA, Gebre A et al (2017) Global, regional, and national burden of cardiovascular diseases for 10 causes, 1990 to 2015. J Am Coll Cardiol 70:1–25

4. Emelia JB, Michael JB, Stephanie EC, Mary C, Sandeep RD, Rajat D et al (2017) Heart disease and stroke statistics—2017 update: a report from the American Heart Association. Circulation 135(10):e146–e603

5. Debraj M, Chirag GP (2011) Epidemiology and the global burden of stroke. World Neurosurg 76:S85–S90

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