Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 121-140, 2019.
In multi-organ segmentation of abdominal CT scans, most existing fully supervised deep learning algorithms require lots of voxel-wise annotations, which are usually difficult, expensive, and slow to obtain. In comparison, massive unlabeled 3D CT volumes are usually easily accessible. Current mainstream works to address semi-supervised bio...More
Full Text (Upload PDF)
PPT (Upload PPT)