A multi-stage training and deep supervision based segmentation approach for 3D abdominal multi-organ segmentation

A novel multi-stage training and a deep supervision model based segmentation approach that achieves exceptional performance in terms of training speed and handling data diversity, particularly in the segmentation tasks of critical abdominal organs, significantly outperforming existing comparative methods.