Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory Requirements. (arXiv:2111.13630v2 [eess.IV] UPDATED)

Even though many semantic segmentation methods exist that are able to perform
well on many medical datasets, often, they are not designed for direct use in
clinical practice. The two main concerns are generalization to unseen data with
a different visual appearance, e.g., images acquired using a different scanner,
and efficiency in terms of computation time and required Graphics Processing
Unit (GPU) memory. In this work, we employ a multi-organ segmentation model
based on the SpatialConfiguration-Net (SCN), which integrates prior …

arxiv gpu segmentation