Unpaired Dual-Modal Image Complementation Learning for Single-Modal Medical Image Segmentation.
Journal:
IEEE transactions on bio-medical engineering
Published Date:
Jan 21, 2025
Abstract
OBJECTIVE: Multi-modal MR/CT image segmentation is an important task in disease diagnosis and treatment, but it is usually difficult to acquire aligned multi-modal images of a patient in clinical practice due to the high cost and specific allergic reactions to contrast agents. To address these issues, a task complementation framework is proposed to enable unpaired multi-modal image complementation learning in the training stage and single-modal image segmentation in the inference stage.