Efficient active contour model for medical image segmentation and correction based on edge and region information

作者：

Highlights：

• Our model can simultaneously segment and correct inhomogeneous images.

• Less coefficients to be tuned in the framework can greatly save time.

• Model accurately processes multi-objective magnetic resonance images.

• The algorithm has been proved to be convergent in theory and practice.

摘要

•Our model can simultaneously segment and correct inhomogeneous images.•Less coefficients to be tuned in the framework can greatly save time.•Model accurately processes multi-objective magnetic resonance images.•The algorithm has been proved to be convergent in theory and practice.

论文关键词：Image segmentation,Intensity inhomogeneity,Split Bregman method,Bias correction,Medical images,Active contours

论文评审过程：Received 24 January 2021, Revised 22 October 2021, Accepted 19 December 2021, Available online 14 January 2022, Version of Record 24 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116436