Multi-branch convolutional neural network for multiple sclerosis lesion segmentation
Multi-branch convolutional neural network for multiple sclerosis lesion segmentation
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Publisher
United States: Elsevier Inc
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Language
English
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Publisher
United States: Elsevier Inc
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In this paper, we present an automated approach for segmenting multiple sclerosis (MS) lesions from multi-modal brain magnetic resonance images. Our method is based on a deep end-to-end 2D convolutional neural network (CNN) for slice-based segmentation of 3D volumetric data. The proposed CNN includes a multi-branch downsampling path, which enables...
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Full title
Multi-branch convolutional neural network for multiple sclerosis lesion segmentation
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TN_cdi_proquest_miscellaneous_2204689750
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2204689750
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ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2019.03.068
