Deep learning-based amyloid PET positivity classification model in the Alzheimer’s disease continuum by using 2-[18F]FDG PET

被引:0
作者
Suhong Kim
Peter Lee
Kyeong Taek Oh
Min Soo Byun
Dahyun Yi
Jun Ho Lee
Yu Kyeong Kim
Byoung Seok Ye
Mi Jin Yun
Dong Young Lee
Yong Jeong
机构
[1] Korea Advanced Institute of Science and Technology (KAIST),Graduate School of Medical Science and Engineering
[2] Korea Advanced Institute of Science and Technology (KAIST),Department of Bio and Brain Engineering
[3] KI for Health Science Technology,Korea Advanced Institute of Science and Technology (KAIST)
[4] Yonsei University College of Medicine,Department of Medical Engineering
[5] Yonsei University College of Medicine,Department of Nuclear Medicine
[6] Yonsei University College of Medicine,Department of Neurology
[7] Seoul National University Bundang Hospital,Department of Neuropsychiatry
[8] Seoul National University,Institute of Human Behavioral Medicine, Medical Research Center
[9] National Center for Mental Health,Department of Neuropsychiatry
[10] SMG-SNU Boramae Medical Center,Department of Nuclear Medicine
[11] Seoul National University College of Medicine,Department of Psychiatry
[12] Seoul National University Hospital,Department of Neuropsychiatry
来源
EJNMMI Research | / 11卷
关键词
Alzheimer’s disease; Amyloid; Dementia; 2-[; F]FDG PET; Deep learning; Classification model;
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