A review on segmentation of knee articular cartilage: from conventional methods towards deep learning

作者：

Highlights：

• We present a review of knee articular cartilage segmentation methods.

• The use of convolutional neural networks (CNNs) has grown in knee articular cartilage segmentation. Therefore, these methods are presented in a separate section.

• Quantitative results are represented, pointing out pros and cons of reviewed studies.

• This review presents an updated and comprehensive review in the field.

摘要

•We present a review of knee articular cartilage segmentation methods.•The use of convolutional neural networks (CNNs) has grown in knee articular cartilage segmentation. Therefore, these methods are presented in a separate section.•Quantitative results are represented, pointing out pros and cons of reviewed studies.•This review presents an updated and comprehensive review in the field.

论文关键词：Knee osteoarthritis (OA),Articular cartilage segmentation,Magnetic resonance imaging (MRI),Medical image analysis,Deep convolutional neural network (CNN)

论文评审过程：Received 24 January 2019, Revised 9 February 2020, Accepted 29 March 2020, Available online 6 May 2020, Version of Record 20 May 2020.

论文官网地址：https://doi.org/10.1016/j.artmed.2020.101851