An efficient and fast computer-aided method for fully automated diagnosis of meniscal tears from magnetic resonance images

作者：

Highlights：

• A new computer-aided diagnosis (CAD) system is proposed to provide a fully automated diagnosis of meniscus tissues in the knee joint.

• The proposed system performs meniscus segmentation with fuzzy clustering approaches.

• The proposed system detects which type of meniscus is torn in which region.

• The system detects the meniscus tears in as little as 3–4 min.

• The proposed system can be used as a decision support system by radiology specialists.

摘要

•A new computer-aided diagnosis (CAD) system is proposed to provide a fully automated diagnosis of meniscus tissues in the knee joint.•The proposed system performs meniscus segmentation with fuzzy clustering approaches.•The proposed system detects which type of meniscus is torn in which region.•The system detects the meniscus tears in as little as 3–4 min.•The proposed system can be used as a decision support system by radiology specialists.

论文关键词：Computer-aided diagnosis (CAD),Knee joint,Meniscus tear,Magnetic resonance imaging (MRI),Classification,Medical image processing

论文评审过程：Received 24 June 2017, Revised 19 June 2018, Accepted 26 November 2018, Available online 5 December 2018, Version of Record 13 June 2019.

论文官网地址：https://doi.org/10.1016/j.artmed.2018.11.008