Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network

25 Nov 2019Naofumi TomitaSteven JiangMatthew E. MaederSaeed Hassanpour

In this paper, we demonstrate the feasibility and performance of deep residual neural networks for volumetric segmentation of irreversibly damaged brain tissue lesions on T1-weighted MRI scans for chronic stroke patients. A total of 239 T1-weighted MRI scans of chronic ischemic stroke patients from a public dataset were retrospectively analyzed by 3D deep convolutional segmentation models with residual learning, using a novel zoom-in&out strategy... (read more)

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