A multi-phase semi-automatic approach for multisequence brain tumor image segmentation

作者：

Highlights：

• A semi-automatic approach is proposed to segment multisequence brain tumor images.

• Image information from different sequences is modeled into probability maps.

• Both data and domain knowledge is integrated in the segmentation.

• The approach allows user to determine the region of interest and the background.

摘要

•A semi-automatic approach is proposed to segment multisequence brain tumor images.•Image information from different sequences is modeled into probability maps.•Both data and domain knowledge is integrated in the segmentation.•The approach allows user to determine the region of interest and the background.

论文关键词：Segmentation,Multisequence brain tumor images,Magnetic Resonance Imaging,Random walks,Information theoretic rough sets,Semiautomatic

论文评审过程：Received 18 January 2018, Revised 23 May 2018, Accepted 16 June 2018, Available online 21 June 2018, Version of Record 30 June 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.06.041