Slice Propagation

Slice propagation is a technique in 3D image segmentation that leverages information from one image slice to improve segmentation in adjacent slices, thereby reducing the need for extensive manual annotation. Current research focuses on integrating slice propagation with convolutional neural networks (CNNs) and transformers, often within iterative self-training frameworks, to improve accuracy and efficiency across various medical imaging modalities. This approach shows promise for accelerating medical image analysis, particularly in applications like volumetric microscopy and organ segmentation, by reducing annotation burden and improving the speed and reliability of automated segmentation. The incorporation of uncertainty quantification methods further enhances the trustworthiness and clinical applicability of these techniques.