TopoNet combines snake convolutions, RGB-D fusion, and topology-preserving losses to improve laparoscopic liver landmark detection accuracy and speed.
Annals of surgery267(2), 199–207 (2018)
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Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection
TopoNet combines snake convolutions, RGB-D fusion, and topology-preserving losses to improve laparoscopic liver landmark detection accuracy and speed.