Monte Carlo-guided Interpolation Consistency Segment Anything Model for Semi-Supervised Prostate Zone Segmentation

A Monte Carlo-guided interpolation consistency-based framework for segmenting 2D MR images of the prostate region, which improves the generalization ability of the Segment Anything Model (SAM) through semi-supervised learning.