A stochastic multi-agent approach for medical-image segmentation: Application to tumor segmentation in brain MR images

作者：

Highlights：

• The paper presents a new multi-agent approach for medical image segmentation.

• The system uses agents for similarities and discontinuities detection.

• The system was used for Tumor detection and segmentation in Brain MR images.

• The system achieves an average score of 86% Dice index without any prior knowledge.

摘要

•The paper presents a new multi-agent approach for medical image segmentation.•The system uses agents for similarities and discontinuities detection.•The system was used for Tumor detection and segmentation in Brain MR images.•The system achieves an average score of 86% Dice index without any prior knowledge.

论文关键词：3D medical images,Segmentation,Multi-agent systems,Region growing,Region merging

论文评审过程：Received 23 March 2020, Revised 4 July 2020, Accepted 25 October 2020, Available online 2 November 2020, Version of Record 7 November 2020.

论文官网地址：https://doi.org/10.1016/j.artmed.2020.101980