Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin

Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin

Lacunes of presumed vascular origin (lacunes) are associated with an increased risk of stroke, gait impairment, and dementia and are a primary imaging feature of the small vessel disease. Quantification of lacunes may be of great importance to elucidate the mechanisms behind neuro-degenerative disor...

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Bibliographic Details
Main Authors: Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Mayra Bergkamp, Joost Wissink, Jiri Obels, Karlijn Keizer, Frank-Erik de Leeuw, Bram van Ginneken, Elena Marchiori, Bram Platel
Format: Article
Language:English
Published: Elsevier 2017-01-01
Series:NeuroImage: Clinical
Subjects:
Lacunes
Automated detection
Convolutional neural networks
Deep learning
Multi-scale
Location-aware
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158217300311

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http://www.sciencedirect.com/science/article/pii/S2213158217300311

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