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4. Acu-Net: A 3D Attention Context U-Net For Multiple Sclerosis Lesion Segmentation

Acu-Net: A 3D Attention Context U-Net For Multiple Sclerosis Lesion Segmentation

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IEEE ICASSP 2020 Virtual Conference May 2020

Multiple Sclerosis (MS) lesion segmentation from MR images is important for neuroimaging analysis. MS is diffuse, multifocal, and tend to involve peripheral brain structures such as the white matter, corpus callosum, and brainstem. Recently, U-Net has mad

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Acu-Net: A 3D Attention Context U-Net For Multiple Sclerosis Lesion Segmentation

00:12:46

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Multiple Sclerosis (MS) lesion segmentation from MR images is important for neuroimaging analysis. MS is diffuse, multifocal, and tend to involve peripheral brain structures such as the white matter, corpus callosum, and brainstem. Recently, U-Net has mad

Acu-Net: A 3D Attention Context U-Net For Multiple Sclerosis Lesion Segmentation

00:12:46

0 views

Multiple Sclerosis (MS) lesion segmentation from MR images is important for neuroimaging analysis. MS is diffuse, multifocal, and tend to involve peripheral brain structures such as the white matter, corpus callosum, and brainstem. Recently, U-Net has mad