Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation

作者：

Highlights：

• New proposed pipeline of pre-processing step and CNN for retinal vessels segmentation.

• A deep strided-CNN is proposed to better and faster segment retinal vessels.

• Skip connections are used to generate sharper and well segmented vessels.

• The selected loss function fulfils the problem requirement and the nature of the dataset.

摘要

•New proposed pipeline of pre-processing step and CNN for retinal vessels segmentation.•A deep strided-CNN is proposed to better and faster segment retinal vessels.•Skip connections are used to generate sharper and well segmented vessels.•The selected loss function fulfils the problem requirement and the nature of the dataset.

论文关键词：Retina,Retinal images,Vessels,Strided-CNN,Pool-CNN

论文评审过程：Received 8 November 2018, Revised 21 May 2019, Accepted 23 May 2019, Available online 24 May 2019, Version of Record 28 May 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.05.029