A trusted medical image super-resolution method based on feedback adaptive weighted dense network

作者：

Highlights：

• We introduce Feedback Adaptive Weight Dense Network (FAWDN) for medical image SR.

• A feedback mechanism is proposed to obtain trusted high-resolution images.

• We introduce adaptive weights into the dense links to adaptively select features.

摘要

•We introduce Feedback Adaptive Weight Dense Network (FAWDN) for medical image SR.•A feedback mechanism is proposed to obtain trusted high-resolution images.•We introduce adaptive weights into the dense links to adaptively select features.

论文关键词：Medical image super-resolution,Trusted medical image reconstruction,Deep convolutional neural network,Feedback mechanism,Adaptive weighting

论文评审过程：Received 30 September 2019, Revised 1 April 2020, Accepted 2 April 2020, Available online 16 May 2020, Version of Record 31 May 2020.

论文官网地址：https://doi.org/10.1016/j.artmed.2020.101857