Multi-rater Prism Framework: Achieving Self-calibrated Medical Image Segmentation from Multiple Annotators
In the field of medical image analysis, segmentation is a crucial task that involves identifying and delineating different structures or lesion areas from medical images. The segmentation results not only assist doctors in making accurate diagnoses but also provide important references for subsequent clinical decision-making and treatment planning. To enhance the reliability of the segmentation … Read more