TopoNet combines snake convolutions, RGB-D fusion, and topology-preserving losses to improve laparoscopic liver landmark detection accuracy and speed.
In: IEEE ICCV
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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.