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Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation
[article]
2019
arXiv
pre-print
Objective: Herein, a neural network-based liver segmentation algorithm is proposed, and its performance was evaluated using abdominal computed tomography (CT) images. Methods: A fully convolutional network was developed to overcome the volumetric image segmentation problem. To guide a neural network to accurately delineate a target liver object, the network was deeply supervised by applying the adaptive self-supervision scheme to derive the essential contour, which acted as a complement with
arXiv:1808.00739v5
fatcat:24r7mzcbsfdz7njb2jttsgkewm