Cross-modality deep feature learning for brain tumor segmentation

作者：

Highlights：

• A novel cross-modality deep feature learning framework for brain tumor segmentation.

• A novel idea to learn useful feature representations from the knowledge transition across different modality data.

• Experiments show that our method can effectively improve the brain tumor segmentation performance when compared with the baseline methods and the state-of-the-art methods.

摘要

•A novel cross-modality deep feature learning framework for brain tumor segmentation.•A novel idea to learn useful feature representations from the knowledge transition across different modality data.•Experiments show that our method can effectively improve the brain tumor segmentation performance when compared with the baseline methods and the state-of-the-art methods.

论文关键词：Brain tumor segmentation,Cross-modality feature transition,Cross-modality feature fusion,Feature learning

论文评审过程：Received 21 January 2020, Revised 30 May 2020, Accepted 21 July 2020, Available online 27 July 2020, Version of Record 1 November 2020.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107562