Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson’s disease and COVID-19

作者：

Highlights：

• We developed activation functions to improve diagnosis of COVID-19 and Parkinson’s.

• We used quantum principles to solve the ‘dying ReLU’ problem.

• We assessed the performance of the novel activations with state-of-the-art methods.

• The proposed quantum activation functions improved such medical diagnoses.

摘要

•We developed activation functions to improve diagnosis of COVID-19 and Parkinson’s.•We used quantum principles to solve the ‘dying ReLU’ problem.•We assessed the performance of the novel activations with state-of-the-art methods.•The proposed quantum activation functions improved such medical diagnoses.

论文关键词：Activation functions,ReLU,Convolutional Neural Network,Decision support,COVID-19,Parkinson’s disease

论文评审过程：Received 24 March 2021, Revised 15 June 2021, Accepted 6 September 2021, Available online 14 September 2021, Version of Record 17 September 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115892