DTI based Alzheimer’s disease classification with rank modulated fusion of CNNs and random forest

作者：

Highlights：

• Four-class classification of Alzheimer’s disease addressed for the first time.

• Effective DTI processing in 3D with CNN(s) and Random Forest as classifiers.

• Rank modulated decision fusion for combining CNNs and Random Forest outputs.

• State-of-the-art performance on publicly available ADNI database.

摘要

•Four-class classification of Alzheimer’s disease addressed for the first time.•Effective DTI processing in 3D with CNN(s) and Random Forest as classifiers.•Rank modulated decision fusion for combining CNNs and Random Forest outputs.•State-of-the-art performance on publicly available ADNI database.

论文关键词：DTI,Alzheimer’s disease classification,VoxCNN,Random forest,Decision fusion

论文评审过程：Received 20 June 2020, Revised 11 November 2020, Accepted 16 November 2020, Available online 18 November 2020, Version of Record 10 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114338