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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.
Achieve both superior WSI grading accuracy and interpretability by jointly training feature embeddings and manifold-constrained clustering.
