Crossover-Net: Leveraging vertical-horizontal crossover relation for robust medical image segmentation

作者：

Highlights：

• Crossover-Net is designed for non-elongated tissues segmentation in medical images.

• Crossover-patch provides crossover relation information to Crossover-Net.

• Crossover-Net learns features of crossover-patch from two directions simultaneously.

• Target-guided information could be effectively highlighted by new loss function.

摘要

•Crossover-Net is designed for non-elongated tissues segmentation in medical images.•Crossover-patch provides crossover relation information to Crossover-Net.•Crossover-Net learns features of crossover-patch from two directions simultaneously.•Target-guided information could be effectively highlighted by new loss function.

论文关键词：Convolutional neural network,Non-elongated tissue,Crossover-Net,Image segmentation,Crossover-patch

论文评审过程：Received 8 February 2020, Revised 2 November 2020, Accepted 13 November 2020, Available online 13 November 2020, Version of Record 19 February 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107756