DeepNeuralnets--Alzheimer:使用深度神经网络的阿尔茨海默病检测-源码

上传者: 42144201 | 上传时间: 2021-06-22 10:51:56 | 文件大小: 54.37MB | 文件类型: ZIP
深度神经网络用于阿尔茨海默病检测 该研究项目是关于在患者中检测阿尔茨海默氏病的。 及早发现阿尔茨海默氏病将有助于早期治疗,这可以防止症状的夸大。 我们的目标是在机器学习的一部分深度学习的帮助下做到这一点。 在这个项目中,我们使用三种类型的体系结构进行深度学习。 LeNet-5 转移学习 视频分类 对于输入,我们有用于Alzheimer,Normal和MCI检测的nii文件。 阿尔茨海默病,MCI和正常人都有不同的文件夹。 每个文件夹都包含一些.nii文件。 每个.nii文件中都有4维数据。 适当的预处理方法被写入预处理文件夹中,以将该4维数据转换为2维和3维数据。 模型的代码分别写在每种体系结构的单独文件夹中。 AWS说明 我们正在使用基于Amazon AMI的深度学习机。 要运行实例,请按照以下步骤操作: 1. go to ec2 instances dashboard 2.

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