MFA-ICPS: Semi-supervised medical image segmentation with improved cross pseudo supervision and multi-dimensional feature attention.

Background: In the medical field, medical image segmentation plays a pivotal role in facilitating disease evaluation and supporting treatment decision-making for doctors. Recently, deep learning methods have been employed in the field of medical image segmentation. However, the manual annotation of a large number of reliable labels is a costly and time-consuming process.