Study on the effect of extreme learning machine and its variants in differentiating Alzheimer conditions from selective regions of brain MR images

作者：

Highlights：

• Extreme learning machine-based detection of Alzheimer from brain MRI is proposed.

• Morphometric variations in corpus callosum and lateral ventricles are characterized.

• Differential evolution learning provides maximum performance using self-adaptivity.

• Sigmoid function is able to provide highest accuracy in Alzheimer classification.

摘要

•Extreme learning machine-based detection of Alzheimer from brain MRI is proposed.•Morphometric variations in corpus callosum and lateral ventricles are characterized.•Differential evolution learning provides maximum performance using self-adaptivity.•Sigmoid function is able to provide highest accuracy in Alzheimer classification.

论文关键词：Extreme learning machine,Alzheimer's disease,Magnetic resonance images,Lateral ventricles,Corpus callosum

论文评审过程：Received 11 June 2020, Revised 13 July 2022, Accepted 19 July 2022, Available online 25 July 2022, Version of Record 3 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118250