AVRA: Automatic visual ratings of atrophy from MRI images using recurrent convolutional neural networks.

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作者： Gustav,Mårtensson ^[1] ; Daniel,Ferreira ^[2] ; Lena,Cavallin ^[3] ; J-Sebastian,Muehlboeck ^[2] ; Lars-Olof,Wahlund ^[2] ; Chunliang,Wang ^[4] ; Eric,Westman ^[5] ; Alzheimer's Disease Neuroimaging Initiative

作者单位： Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden. Electronic address: gustav.martensson@ki.se. ^[1] Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden. ^[2] Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Radiology, Karolinska University Hospital, Stockholm, Sweden. ^[3] School of Technology and Health, KTH Royal Institute of Technology, Stockholm, Sweden. ^[4] Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. ^[5]

关键词 Atrophy MRI Machine learning Neuroimaging Radiology Visual ratings

主题词萎缩(Atrophy);脑(Brain);人类(Humans);图像解释, 计算机辅助(Image Interpretation, Computer-Assisted);磁共振成像(Magnetic Resonance Imaging)

DOI 10.1016/j.nicl.2019.101872

PMID 31154242

发布时间 2024-09-22

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NeuroImage. Clinical

2019年23卷

101872页

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AVRA: Automatic visual ratings of atrophy from MRI images using recurrent convolutional neural networks.

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AVRA: Automatic visual ratings of atrophy from MRI images using recurrent convolutional neural networks.

NeuroImage. Clinical

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NeuroImage. Clinical

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