使用ResNet-18网络在功能磁共振成像上检测阿尔茨海默病特征：一次失败的复制。对奥杜萨米等人的评论。阿尔茨海默病特征分析：使用微调的ResNet18网络从磁共振图像中的脑功能变化检测早期阶段。2021年，，1071。
Using a ResNet-18 Network to Detect Features of Alzheimer's Disease on Functional Magnetic Resonance Imaging: A Failed Replication. Comment on Odusami et al. Analysis of Features of Alzheimer's Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network. 2021, , 1071.
作者信息
Nicholas Peter J, To Alex, Tanglay Onur, Young Isabella M, Sughrue Michael E, Doyen Stéphane
机构信息
Omniscient Neurotechnology, Sydney, NSW 2000, Australia.
出版信息
Diagnostics (Basel). 2022 Apr 27;12(5):1094. doi: 10.3390/diagnostics12051094.
Abstract
There is considerable interest in developing effective tools to detect Alzheimer's Disease (AD) early in its course, prior to clinical progression [...].
摘要
人们对开发有效的工具以在阿尔茨海默病（AD）临床进展之前的病程早期进行检测有着浓厚的兴趣[...]。
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