A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images

26 May 2019Yunzhe XueFadi G. FarhatOlga BoukrinaA . M. BarrettJeffrey R. BinderUsman W. RoshanWilliam W. Graves

Automatic identification of brain lesions from magnetic resonance imaging (MRI) scans of stroke survivors would be a useful aid in patient diagnosis and treatment planning. We propose a multi-modal multi-path convolutional neural network system for automating stroke lesion segmentation... (read more)

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