A liver fibrosis staging method using cross-contrast network

作者：

Highlights：

• Mining complex texture features is critical for accurate liver fibrosis staging.

• It is the first experimental study combines IBS with convolutional network.

• Computational results suggest the network performs well on average.

摘要

•Mining complex texture features is critical for accurate liver fibrosis staging.•It is the first experimental study combines IBS with convolutional network.•Computational results suggest the network performs well on average.

论文关键词：Convolutional neural network,IBS theory,Liver fibrosis,Cross-contrast

论文评审过程：Received 9 October 2018, Revised 8 March 2019, Accepted 28 March 2019, Available online 6 April 2019, Version of Record 19 April 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.03.049