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The Chinese University of Hong Kong
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By alternating between segmentation and curve modeling, A2ONet achieves more accurate liver landmark detection in laparoscopic images, even under poor illumination.
Achieve more stable and accurate alignment of preoperative liver models with intraoperative laparoscopic views by explicitly modeling reliable 2D-3D geometric correspondences supported by latent evidence.
