Towards efficient medical lesion image super-resolution based on deep residual networks

作者：

Highlights：

• An efficient medical lesion image super-resolution method based on deep residual networks is proposed.

• A multi-scale super-resolution reconstruction model based on a deep residual network is trained.

• An easy-to-use interface is designed.

• A reconstruction model is used to reconstruct different types of medical lesion images with different scales.

摘要

•An efficient medical lesion image super-resolution method based on deep residual networks is proposed.•A multi-scale super-resolution reconstruction model based on a deep residual network is trained.•An easy-to-use interface is designed.•A reconstruction model is used to reconstruct different types of medical lesion images with different scales.

论文关键词：Super-resolution,Deep residual networks,Medical diagnosis

论文评审过程：Received 21 October 2018, Revised 11 March 2019, Accepted 13 March 2019, Available online 18 March 2019, Version of Record 20 March 2019.

论文官网地址：https://doi.org/10.1016/j.image.2019.03.008