Deep learning for Alzheimer's disease diagnosis: A survey

作者：

Highlights：

• We perform a comparative analysis of about 200 recently published papers.

• We investigate prediction tasks, data sources, deep networks and code availability.

• Trending technologies for Alzheimer’s computer-aided-diagnosis are reviewed.

• Data, methodology and clinical adoption challenges are explained.

• Future perspectives and some recommendations are provided.

摘要

•We perform a comparative analysis of about 200 recently published papers.•We investigate prediction tasks, data sources, deep networks and code availability.•Trending technologies for Alzheimer’s computer-aided-diagnosis are reviewed.•Data, methodology and clinical adoption challenges are explained.•Future perspectives and some recommendations are provided.

论文关键词：Alzheimer's disease diagnosis,Deep learning,Deep neural networks,Convolutional neural networks,Recurrent neural networks,Generative networks

论文评审过程：Received 25 November 2020, Revised 29 April 2022, Accepted 30 May 2022, Available online 12 June 2022, Version of Record 24 June 2022.

论文官网地址：https://doi.org/10.1016/j.artmed.2022.102332