LiverFormer: A Novel 3D CNN-Transformer Architecture for Automated Couinaud Segmentation of the Liver in CT Images
This research introduces LiverFormer, a novel 3D CNN-Transformer model that leverages data augmentation techniques to achieve highly accurate and automated Couinaud segmentation in CT images, showcasing its potential to improve liver cancer treatment planning and patient outcomes.