Incorporating prior shape knowledge via data-driven loss model to improve 3D liver segmentation in deep CNNs

ConclusionsThe results indicate that the incorporation of prior shape knowledge enhances liver segmentation tasks in deep CNN models. The proposed method improves the generalization and robustness of the hybrid model due to the abstract features provided by the data-driven loss model.
Source: International Journal of Computer Assisted Radiology and Surgery - Category: Intensive Care Source Type: research