Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review

作者：

Highlights：

• The use of convolutional neural networks (CNN) has grown in brain image analysis.

• We review the deep CNNs applied to brain lesions, tissue and structure segmentation.

• We discuss about pre-processing, data-preparation, architectures and post-processing.

• Quantitative results are shown, pointing out pros and cons of reviewed architectures.

摘要

•The use of convolutional neural networks (CNN) has grown in brain image analysis.•We review the deep CNNs applied to brain lesions, tissue and structure segmentation.•We discuss about pre-processing, data-preparation, architectures and post-processing.•Quantitative results are shown, pointing out pros and cons of reviewed architectures.

论文关键词：Deep convolutional neural network,Brain MRI,Segmentation,Review

论文评审过程：Received 29 November 2016, Revised 25 April 2018, Accepted 27 August 2018, Available online 6 September 2018, Version of Record 20 March 2019.

论文官网地址：https://doi.org/10.1016/j.artmed.2018.08.008