Pixel-wise triplet learning for enhancing boundary discrimination in medical image segmentation

作者：

Highlights：

• A pixel-wise triplet learning approach to enhance boundary discrimination.

• An adaptive triplets selection algorithm for fast convergence.

• Validity and efficiency of the method is shown on nine medical data sets.

摘要

•A pixel-wise triplet learning approach to enhance boundary discrimination.•An adaptive triplets selection algorithm for fast convergence.•Validity and efficiency of the method is shown on nine medical data sets.

论文关键词：Medical image segmentation,Boundary aware segmentation,Triplet learning,Pixel-wise discrimination

论文评审过程：Received 6 July 2021, Revised 7 February 2022, Accepted 8 February 2022, Available online 18 February 2022, Version of Record 26 February 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.108424