Abnormality detection in retinal image by individualized background learning

作者：

Highlights：

• A multi-scale sparse coding based learning algorithm is proposed for effectively learning the individualized retinal background.

• A repeated learning strategy is proposed for improving the accuracy of the individualized retinal background.

• A feasible approach is developed for detecting both salient and weak retinal lesions.

摘要

•A multi-scale sparse coding based learning algorithm is proposed for effectively learning the individualized retinal background.•A repeated learning strategy is proposed for improving the accuracy of the individualized retinal background.•A feasible approach is developed for detecting both salient and weak retinal lesions.

论文关键词：Retinal abnormality detection,Retinal lesion detection,Computer-aided detection,Dictionary learning,Background learning,Retinal image reading

论文评审过程：Received 17 March 2019, Revised 22 August 2019, Accepted 16 January 2020, Available online 16 January 2020, Version of Record 24 January 2020.

论文官网地址：https://doi.org/10.1016/j.patcog.2020.107209