Semi-supervised multi-organ segmentation via multi-planar co-training

arXiv: Computer Vision and Pattern Recognition, Volume abs/1804.02586, 2018.

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Abstract:

Multi-organ segmentation is a critical problem in medical image analysis due to its great value for computer-aided diagnosis, computer-aided surgery, and radiation therapy. Although fully-supervised segmentation methods can achieve good performance, they usually require a large amount of 3D data, such as CT scans, with voxel-wised annotat...More

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