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SUPER-RESOLUTION ANATOMICAL MAGNETIC RESONANCE IMAGING USING DEEP LEARNING FOR CEREBRAL CORTEX SEGMENTATION
SUPER-RESOLUTION ANATOMICAL MAGNETIC RESONANCE IMAGING USING DEEP LEARNING FOR CEREBRAL CORTEX SEGMENTATION
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机译:深度学习对脑皮层分割的超分辨解剖学成像
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摘要
Super-resolution images are generated from standard-resolution images acquired with a magnetic resonance imaging (“MRI”) system. More particularly, super-resolution (e.g., sub-millimeter isotropic resolution) images are generated from standard-resolution images (e.g., images with 1 mm or coarser isotropic resolution) using a deep learning algorithm, from which accurate cortical surface reconstructions can be generated.
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